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1. (TCO A) Seventeen salespeople reported the following number of sales calls completed last month.

72 93 82 81 82 97 102 107 119
86 88 91 83 93 73 100 102

a. Compute the mean, median, mode, and standard deviation, Q1, Q3, Min, and Max for the above sample data on number of sales calls per month.
b. In the context of this situation, interpret the Median, Q1, and Q3.

2. (TCO B) Cedar Home Furnishings has collected data on their customers in terms of whether they reside in an urban location or a suburban location, as well as rating the customers as either “good,” “borderline,” or “poor.” The data is below.
Urban Suburban Total
Good 60 168 228
Borderline 36 72 108
Poor 24 40 64
Total 120 280 400

If you choose a customer at random, then find the probability that the customer

a. is considered “borderline.”
b. is considered “good” and resides in an urban location.
c. is suburban, given that customer is considered “poor.”

3. (TCO B) Historically, 70% of your customers at Rodale Emporium pay for their purchases using credit cards. In a sample of 20 customers, find the probability that

a. exactly 14 customers will pay for their purchases using credit cards.
b. at least 10 customers will pay for their purchases using credit cards.
c. at most 12 customers will pay for their purchases using credit cards. (Points : 18)

4. (TCO B) The demand for gasoline at a local service station is normally distributed with a mean of 27,009 gallons per day and a standard deviation of 4,530 gallons per day.

a. Find the probability that the demand for gasoline exceeds 22,000 gallons for a given day.
b. Find the probability that the demand for gasoline falls between 20,000 and 23,000 gallons for a given day.
c. How many gallons of gasoline should be on hand at the beginning of each day so that we can meet the demand 90% of the time (i.e., the station stands a 10% chance of running out of gasoline for that day)?

5. (TCO C) An operations analyst from an airline company has been asked to develop a fairly accurate estimate of the mean refueling and baggage handling time at a foreign airport. A random sample of 36 refueling and baggage handling times yields the following results.

Sample Size = 36
Sample Mean = 24.2 minutes
Sample Standard Deviation = 4.2 minutes

a. Compute the 90% confidence interval for the population mean refueling and baggage time.
b. Interpret this interval.
c. How many refueling and baggage handling times should be sampled so that we may construct a 90% confidence interval with a sampling error of .5 minutes for the population mean refueling and baggage time?

6. (TCO C) The manufacturer of a certain brand of toothpaste claims that a high percentage of dentists recommend the use of their toothpaste. A random sample of 400 dentists results in 310 recommending their toothpaste.

a. Compute the 99% confidence interval for the population proportion of dentists who recommend the use of this toothpaste.
b. Interpret this confidence interval.
c. How large a sample size will need to be selected if we wish to have a 99% confidence interval that is accurate to within 3%?

7. (TCO D) A Ford Motor Company quality improvement team believes that its recently implemented defect reduction program has reduced the proportion of paint defects. Prior to the implementation of the program, the proportion of paint defects was .03 and had been stationary for the past 6 months. Ford selects a random sample of 2,000 cars built after the implementation of the defect reduction program. There were 45 cars with paint defects in that sample. Does the sample data provide evidence to conclude that the proportion of paint defects is now less than .03 (with = .01)? Use the hypothesis testing procedure outlined below.

a. Formulate the null and alternative hypotheses.
b. State the level of significance.
c. Find the critical value (or values), and clearly show the rejection and nonrejection regions.
d. Compute the test statistic.
e. Decide whether you can reject Ho and accept Ha or not.
f. Explain and interpret your conclusion in part e. What does this mean?
g. Determine the observed p-value for the hypothesis test and interpret this value. What does this mean?
h. Does the sample data provide evidence to conclude that the proportion of paint defects is now less than .03 (with = .01)?

8. (TCO D) A new car dealer calculates that the dealership must average more than 4.5% profit on sales of new cars. A random sample of 81 cars gives the following result.

Sample Size = 81
Sample Mean = 4.97%
Sample Standard Deviation = 1.8%

Does the sample data provide evidence to conclude that the dealership averages more than 4.5% profit on sales of new cars (using  = .10)? Use the hypothesis testing procedure outlined below.

a. Formulate the null and alternative hypotheses.
b. State the level of significance.
c. Find the critical value (or values), and clearly show the rejection and nonrejection regions.
d. Compute the test statistic.
e. Decide whether you can reject Ho and accept Ha or not.
f. Explain and interpret your conclusion in part e. What does this mean?
g. Determine the observed p-value for the hypothesis test and interpret this value. What does this mean?
h. Does the sample data provide evidence to conclude that the dealership averages more than 4.5% profit on sales of new cars (using  = .10)?

1. (TCO E) Bill McFarland is a real estate broker who specializes in selling farmland in a large western state. Because Bill advises many of his clients about pricing their land, he is interested in developing a pricing formula of some type. He feels he could increase his business significantly if he could accurately determine the value of a farmer’s land. A geologist tells Bill that the soil and rock characteristics in most of the area that Bill sells do not vary much. Thus the price of land should depend greatly on acreage. Bill selects a sample of 30 plots recently sold. The data is found below (in Minitab), where X=Acreage and Y=Price (\$1,000s).

PRICE ACREAGE PREDICT
60 20.0 50
130 40.5 250
25 10.2
300 100.0
85 30.0
182 56.5
115 41.0
24 10.0
60 18.5
92 30.0
77 25.6
122 42.0
41 14.0
200 70.0
42 13.0
60 21.6
20 6.5
145 45.0
61 19.2
235 80.0
250 90.0
278 95.0
118 41.0
46 14.0
69 22.0
220 81.5
235 78.0
50 16.0
25 10.0
290 100.0

Correlations: PRICE, ACREAGE

Pearson correlation of PRICE and ACREAGE = 0.997
P-Value = 0.000

Regression Analysis: PRICE versus ACREAGE

The regression equation is
PRICE = 2.26 + 2.89 ACREAGE

Predictor Coef SE Coef T P
Constant 2.257 2.231 1.01 0.320
ACREAGE 2.89202 0.04353 66.44 0.000

S = 7.21461 R-Sq = 99.4% R-Sq(adj) = 99.3%

Analysis of Variance

Source DF SS MS F P
Regression 1 229757 229757 4414.11 0.000
Residual Error 28 1457 52
Total 29 231215

Predicted Values for New Observations

New Obs Fit SE Fit 95% CI 95% PI
1 146.86 1.37 (144.05, 149.66) (131.82, 161.90)
2 725.26 9.18 (706.46, 744.06) (701.35, 749.17)XX

XX denotes a point that is an extreme outlier in the predictors.

Values of Predictors for New Observations

New Obs ACREAGE
1 50
2 250

a. Analyze the above output to determine the regression equation.
b. Find and interpret in the context of this problem.
c. Find and interpret the coefficient of determination (r-squared).
d. Find and interpret coefficient of correlation.
e. Does the data provide significant evidence (= .05) that the acreage can be used to predict the price? Test the utility of this model using a two-tailed test. Find the observed p-value and interpret.
f. Find the 95% confidence interval for mean price of plots of farmland that are 50 acres. Interpret this interval.
g. Find the 95% prediction interval for the price of a single plot of farmland that is 50 acres. Interpret this interval.
h. What can we say about the price for a plot of farmland that is 250 acres?

1. (TCO E) An insurance firm wishes to study the relationship between driving experience (X1, in years), number of driving violations in the past three years (X2), and current monthly auto insurance premium (Y). A sample of 12 insured drivers is selected at random. The data is given below (in MINITAB):

Y X1 X2 Predict X1 Predict X2
74 5 2 8 1
38 14 0
50 6 1
63 10 3
97 4 6
55 8 2
57 11 3
43 16 1
99 3 5
46 9 1
35 19 0
60 13 3

Regression Analysis: Y versus X1, X2

The regression equation is
Y = 55.1 – 1.37 X1 + 8.05 X2

Predictor Coef SE Coef T P
Constant 55.138 7.309 7.54 0.000
X1 -1.3736 0.4885 -2.81 0.020
X2 8.053 1.307 6.16 0.000

S = 6.07296 R-Sq = 93.1% R-Sq(adj) = 91.6%

Analysis of Variance

Source DF SS MS F P
Regression 2 4490.3 2245.2 60.88 0.000
Residual Error 9 331.9 36.9
Total 11 4822.3

Predicted Values for New Observations

New Obs Fit SE Fit 95% CI 95% PI
1 52.20 2.91 (45.62, 58.79) (36.97, 67.44)

Values of Predictors for New Observations

New Obs X1 X2
1 8.00 1.00

Correlations: Y, X1, X2

Y X1
X1 -0.800
0.002

X2 0.933 -0.660
0.000 0.020

Cell Contents: Pearson correlation
P-Value

a. Analyze the above output to determine the multiple regression equation.
b. Find and interpret the multiple index of determination (R-Sq).
c. Perform the t-tests on and on (use two tailed test with (= .05). Interpret your results.
d. Predict the monthly premium for an individual having 8 years of driving experience and 1 driving violation during the past 3 years. Use both a point estimate and the appropriate interval estimate.

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1. (TCO A) Seventeen salespeople reported the following number of sales calls completed last month.

72 93 82 81 82 97 102 107 119
86 88 91 83 93 73 100 102

a. Compute the mean, median, mode, and standard deviation, Q1, Q3, Min, and Max for the above sample data on number of sales calls per month.
b. In the context of this situation, interpret the Median, Q1, and Q3.

2. (TCO B) Cedar Home Furnishings has collected data on their customers in terms of whether they reside in an urban location or a suburban location, as well as rating the customers as either “good,” “borderline,” or “poor.” The data is below.
Urban Suburban Total
Good 60 168 228
Borderline 36 72 108
Poor 24 40 64
Total 120 280 400

If you choose a customer at random, then find the probability that the customer

a. is considered “borderline.”
b. is considered “good” and resides in an urban location.
c. is suburban, given that customer is considered “poor.”

3. (TCO B) Historically, 70% of your customers at Rodale Emporium pay for their purchases using credit cards. In a sample of 20 customers, find the probability that

a. exactly 14 customers will pay for their purchases using credit cards.
b. at least 10 customers will pay for their purchases using credit cards.
c. at most 12 customers will pay for their purchases using credit cards. (Points : 18)

4. (TCO B) The demand for gasoline at a local service station is normally distributed with a mean of 27,009 gallons per day and a standard deviation of 4,530 gallons per day.

a. Find the probability that the demand for gasoline exceeds 22,000 gallons for a given day.
b. Find the probability that the demand for gasoline falls between 20,000 and 23,000 gallons for a given day.
c. How many gallons of gasoline should be on hand at the beginning of each day so that we can meet the demand 90% of the time (i.e., the station stands a 10% chance of running out of gasoline for that day)?

5. (TCO C) An operations analyst from an airline company has been asked to develop a fairly accurate estimate of the mean refueling and baggage handling time at a foreign airport. A random sample of 36 refueling and baggage handling times yields the following results.

Sample Size = 36
Sample Mean = 24.2 minutes
Sample Standard Deviation = 4.2 minutes

a. Compute the 90% confidence interval for the population mean refueling and baggage time.
b. Interpret this interval.
c. How many refueling and baggage handling times should be sampled so that we may construct a 90% confidence interval with a sampling error of .5 minutes for the population mean refueling and baggage time?

6. (TCO C) The manufacturer of a certain brand of toothpaste claims that a high percentage of dentists recommend the use of their toothpaste. A random sample of 400 dentists results in 310 recommending their toothpaste.

a. Compute the 99% confidence interval for the population proportion of dentists who recommend the use of this toothpaste.
b. Interpret this confidence interval.
c. How large a sample size will need to be selected if we wish to have a 99% confidence interval that is accurate to within 3%?

7. (TCO D) A Ford Motor Company quality improvement team believes that its recently implemented defect reduction program has reduced the proportion of paint defects. Prior to the implementation of the program, the proportion of paint defects was .03 and had been stationary for the past 6 months. Ford selects a random sample of 2,000 cars built after the implementation of the defect reduction program. There were 45 cars with paint defects in that sample. Does the sample data provide evidence to conclude that the proportion of paint defects is now less than .03 (with = .01)? Use the hypothesis testing procedure outlined below.

a. Formulate the null and alternative hypotheses.
b. State the level of significance.
c. Find the critical value (or values), and clearly show the rejection and nonrejection regions.
d. Compute the test statistic.
e. Decide whether you can reject Ho and accept Ha or not.
f. Explain and interpret your conclusion in part e. What does this mean?
g. Determine the observed p-value for the hypothesis test and interpret this value. What does this mean?
h. Does the sample data provide evidence to conclude that the proportion of paint defects is now less than .03 (with = .01)?

8. (TCO D) A new car dealer calculates that the dealership must average more than 4.5% profit on sales of new cars. A random sample of 81 cars gives the following result.

Sample Size = 81
Sample Mean = 4.97%
Sample Standard Deviation = 1.8%

Does the sample data provide evidence to conclude that the dealership averages more than 4.5% profit on sales of new cars (using  = .10)? Use the hypothesis testing procedure outlined below.

a. Formulate the null and alternative hypotheses.
b. State the level of significance.
c. Find the critical value (or values), and clearly show the rejection and nonrejection regions.
d. Compute the test statistic.
e. Decide whether you can reject Ho and accept Ha or not.
f. Explain and interpret your conclusion in part e. What does this mean?
g. Determine the observed p-value for the hypothesis test and interpret this value. What does this mean?
h. Does the sample data provide evidence to conclude that the dealership averages more than 4.5% profit on sales of new cars (using  = .10)?

1. (TCO E) Bill McFarland is a real estate broker who specializes in selling farmland in a large western state. Because Bill advises many of his clients about pricing their land, he is interested in developing a pricing formula of some type. He feels he could increase his business significantly if he could accurately determine the value of a farmer’s land. A geologist tells Bill that the soil and rock characteristics in most of the area that Bill sells do not vary much. Thus the price of land should depend greatly on acreage. Bill selects a sample of 30 plots recently sold. The data is found below (in Minitab), where X=Acreage and Y=Price (\$1,000s).

PRICE ACREAGE PREDICT
60 20.0 50
130 40.5 250
25 10.2
300 100.0
85 30.0
182 56.5
115 41.0
24 10.0
60 18.5
92 30.0
77 25.6
122 42.0
41 14.0
200 70.0
42 13.0
60 21.6
20 6.5
145 45.0
61 19.2
235 80.0
250 90.0
278 95.0
118 41.0
46 14.0
69 22.0
220 81.5
235 78.0
50 16.0
25 10.0
290 100.0

Correlations: PRICE, ACREAGE

Pearson correlation of PRICE and ACREAGE = 0.997
P-Value = 0.000

Regression Analysis: PRICE versus ACREAGE

The regression equation is
PRICE = 2.26 + 2.89 ACREAGE

Predictor Coef SE Coef T P
Constant 2.257 2.231 1.01 0.320
ACREAGE 2.89202 0.04353 66.44 0.000

S = 7.21461 R-Sq = 99.4% R-Sq(adj) = 99.3%

Analysis of Variance

Source DF SS MS F P
Regression 1 229757 229757 4414.11 0.000
Residual Error 28 1457 52
Total 29 231215

Predicted Values for New Observations

New Obs Fit SE Fit 95% CI 95% PI
1 146.86 1.37 (144.05, 149.66) (131.82, 161.90)
2 725.26 9.18 (706.46, 744.06) (701.35, 749.17)XX

XX denotes a point that is an extreme outlier in the predictors.

Values of Predictors for New Observations

New Obs ACREAGE
1 50
2 250

a. Analyze the above output to determine the regression equation.
b. Find and interpret in the context of this problem.
c. Find and interpret the coefficient of determination (r-squared).
d. Find and interpret coefficient of correlation.
e. Does the data provide significant evidence (= .05) that the acreage can be used to predict the price? Test the utility of this model using a two-tailed test. Find the observed p-value and interpret.
f. Find the 95% confidence interval for mean price of plots of farmland that are 50 acres. Interpret this interval.
g. Find the 95% prediction interval for the price of a single plot of farmland that is 50 acres. Interpret this interval.
h. What can we say about the price for a plot of farmland that is 250 acres?

1. (TCO E) An insurance firm wishes to study the relationship between driving experience (X1, in years), number of driving violations in the past three years (X2), and current monthly auto insurance premium (Y). A sample of 12 insured drivers is selected at random. The data is given below (in MINITAB):

Y X1 X2 Predict X1 Predict X2
74 5 2 8 1
38 14 0
50 6 1
63 10 3
97 4 6
55 8 2
57 11 3
43 16 1
99 3 5
46 9 1
35 19 0
60 13 3

Regression Analysis: Y versus X1, X2

The regression equation is
Y = 55.1 – 1.37 X1 + 8.05 X2

Predictor Coef SE Coef T P
Constant 55.138 7.309 7.54 0.000
X1 -1.3736 0.4885 -2.81 0.020
X2 8.053 1.307 6.16 0.000

S = 6.07296 R-Sq = 93.1% R-Sq(adj) = 91.6%

Analysis of Variance

Source DF SS MS F P
Regression 2 4490.3 2245.2 60.88 0.000
Residual Error 9 331.9 36.9
Total 11 4822.3

Predicted Values for New Observations

New Obs Fit SE Fit 95% CI 95% PI
1 52.20 2.91 (45.62, 58.79) (36.97, 67.44)

Values of Predictors for New Observations

New Obs X1 X2
1 8.00 1.00

Correlations: Y, X1, X2

Y X1
X1 -0.800
0.002

X2 0.933 -0.660
0.000 0.020

Cell Contents: Pearson correlation
P-Value

a. Analyze the above output to determine the multiple regression equation.
b. Find and interpret the multiple index of determination (R-Sq).
c. Perform the t-tests on and on (use two tailed test with (= .05). Interpret your results.
d. Predict the monthly premium for an individual having 8 years of driving experience and 1 driving violation during the past 3 years. Use both a point estimate and the appropriate interval estimate.

For getting the solution, Please click on the “PURCHASE” link below to get MATH GM 533_Final_Exam_Complete Answer

For instant digital download of the above solution or tutorial, please click on the below link and make an instant purchase. You will be guided to the PAYPAL Standard payment page wherein you can pay and you will receive an email immediately with a download link. Please note that in case of technical glitch, the solutions will be emailed to you within 24 hours.

Posted on

1. (TCO A) Seventeen salespeople reported the following number of sales calls completed last month.

72 93 82 81 82 97 102 107 119
86 88 91 83 93 73 100 102

a. Compute the mean, median, mode, and standard deviation, Q1, Q3, Min, and Max for the above sample data on number of sales calls per month.
b. In the context of this situation, interpret the Median, Q1, and Q3.

2. (TCO B) Cedar Home Furnishings has collected data on their customers in terms of whether they reside in an urban location or a suburban location, as well as rating the customers as either “good,” “borderline,” or “poor.” The data is below.
Urban Suburban Total
Good 60 168 228
Borderline 36 72 108
Poor 24 40 64
Total 120 280 400

If you choose a customer at random, then find the probability that the customer

a. is considered “borderline.”
b. is considered “good” and resides in an urban location.
c. is suburban, given that customer is considered “poor.”

3. (TCO B) Historically, 70% of your customers at Rodale Emporium pay for their purchases using credit cards. In a sample of 20 customers, find the probability that

a. exactly 14 customers will pay for their purchases using credit cards.
b. at least 10 customers will pay for their purchases using credit cards.
c. at most 12 customers will pay for their purchases using credit cards. (Points : 18)

4. (TCO B) The demand for gasoline at a local service station is normally distributed with a mean of 27,009 gallons per day and a standard deviation of 4,530 gallons per day.

a. Find the probability that the demand for gasoline exceeds 22,000 gallons for a given day.
b. Find the probability that the demand for gasoline falls between 20,000 and 23,000 gallons for a given day.
c. How many gallons of gasoline should be on hand at the beginning of each day so that we can meet the demand 90% of the time (i.e., the station stands a 10% chance of running out of gasoline for that day)?

5. (TCO C) An operations analyst from an airline company has been asked to develop a fairly accurate estimate of the mean refueling and baggage handling time at a foreign airport. A random sample of 36 refueling and baggage handling times yields the following results.

Sample Size = 36
Sample Mean = 24.2 minutes
Sample Standard Deviation = 4.2 minutes

a. Compute the 90% confidence interval for the population mean refueling and baggage time.
b. Interpret this interval.
c. How many refueling and baggage handling times should be sampled so that we may construct a 90% confidence interval with a sampling error of .5 minutes for the population mean refueling and baggage time?

6. (TCO C) The manufacturer of a certain brand of toothpaste claims that a high percentage of dentists recommend the use of their toothpaste. A random sample of 400 dentists results in 310 recommending their toothpaste.

a. Compute the 99% confidence interval for the population proportion of dentists who recommend the use of this toothpaste.
b. Interpret this confidence interval.
c. How large a sample size will need to be selected if we wish to have a 99% confidence interval that is accurate to within 3%?

7. (TCO D) A Ford Motor Company quality improvement team believes that its recently implemented defect reduction program has reduced the proportion of paint defects. Prior to the implementation of the program, the proportion of paint defects was .03 and had been stationary for the past 6 months. Ford selects a random sample of 2,000 cars built after the implementation of the defect reduction program. There were 45 cars with paint defects in that sample. Does the sample data provide evidence to conclude that the proportion of paint defects is now less than .03 (with = .01)? Use the hypothesis testing procedure outlined below.

a. Formulate the null and alternative hypotheses.
b. State the level of significance.
c. Find the critical value (or values), and clearly show the rejection and nonrejection regions.
d. Compute the test statistic.
e. Decide whether you can reject Ho and accept Ha or not.
f. Explain and interpret your conclusion in part e. What does this mean?
g. Determine the observed p-value for the hypothesis test and interpret this value. What does this mean?
h. Does the sample data provide evidence to conclude that the proportion of paint defects is now less than .03 (with = .01)?

8. (TCO D) A new car dealer calculates that the dealership must average more than 4.5% profit on sales of new cars. A random sample of 81 cars gives the following result.

Sample Size = 81
Sample Mean = 4.97%
Sample Standard Deviation = 1.8%

Does the sample data provide evidence to conclude that the dealership averages more than 4.5% profit on sales of new cars (using  = .10)? Use the hypothesis testing procedure outlined below.

a. Formulate the null and alternative hypotheses.
b. State the level of significance.
c. Find the critical value (or values), and clearly show the rejection and nonrejection regions.
d. Compute the test statistic.
e. Decide whether you can reject Ho and accept Ha or not.
f. Explain and interpret your conclusion in part e. What does this mean?
g. Determine the observed p-value for the hypothesis test and interpret this value. What does this mean?
h. Does the sample data provide evidence to conclude that the dealership averages more than 4.5% profit on sales of new cars (using  = .10)?

1. (TCO E) Bill McFarland is a real estate broker who specializes in selling farmland in a large western state. Because Bill advises many of his clients about pricing their land, he is interested in developing a pricing formula of some type. He feels he could increase his business significantly if he could accurately determine the value of a farmer’s land. A geologist tells Bill that the soil and rock characteristics in most of the area that Bill sells do not vary much. Thus the price of land should depend greatly on acreage. Bill selects a sample of 30 plots recently sold. The data is found below (in Minitab), where X=Acreage and Y=Price (\$1,000s).

PRICE ACREAGE PREDICT
60 20.0 50
130 40.5 250
25 10.2
300 100.0
85 30.0
182 56.5
115 41.0
24 10.0
60 18.5
92 30.0
77 25.6
122 42.0
41 14.0
200 70.0
42 13.0
60 21.6
20 6.5
145 45.0
61 19.2
235 80.0
250 90.0
278 95.0
118 41.0
46 14.0
69 22.0
220 81.5
235 78.0
50 16.0
25 10.0
290 100.0

Correlations: PRICE, ACREAGE

Pearson correlation of PRICE and ACREAGE = 0.997
P-Value = 0.000

Regression Analysis: PRICE versus ACREAGE

The regression equation is
PRICE = 2.26 + 2.89 ACREAGE

Predictor Coef SE Coef T P
Constant 2.257 2.231 1.01 0.320
ACREAGE 2.89202 0.04353 66.44 0.000

S = 7.21461 R-Sq = 99.4% R-Sq(adj) = 99.3%

Analysis of Variance

Source DF SS MS F P
Regression 1 229757 229757 4414.11 0.000
Residual Error 28 1457 52
Total 29 231215

Predicted Values for New Observations

New Obs Fit SE Fit 95% CI 95% PI
1 146.86 1.37 (144.05, 149.66) (131.82, 161.90)
2 725.26 9.18 (706.46, 744.06) (701.35, 749.17)XX

XX denotes a point that is an extreme outlier in the predictors.

Values of Predictors for New Observations

New Obs ACREAGE
1 50
2 250

a. Analyze the above output to determine the regression equation.
b. Find and interpret in the context of this problem.
c. Find and interpret the coefficient of determination (r-squared).
d. Find and interpret coefficient of correlation.
e. Does the data provide significant evidence (= .05) that the acreage can be used to predict the price? Test the utility of this model using a two-tailed test. Find the observed p-value and interpret.
f. Find the 95% confidence interval for mean price of plots of farmland that are 50 acres. Interpret this interval.
g. Find the 95% prediction interval for the price of a single plot of farmland that is 50 acres. Interpret this interval.
h. What can we say about the price for a plot of farmland that is 250 acres?

1. (TCO E) An insurance firm wishes to study the relationship between driving experience (X1, in years), number of driving violations in the past three years (X2), and current monthly auto insurance premium (Y). A sample of 12 insured drivers is selected at random. The data is given below (in MINITAB):

Y X1 X2 Predict X1 Predict X2
74 5 2 8 1
38 14 0
50 6 1
63 10 3
97 4 6
55 8 2
57 11 3
43 16 1
99 3 5
46 9 1
35 19 0
60 13 3

Regression Analysis: Y versus X1, X2

The regression equation is
Y = 55.1 – 1.37 X1 + 8.05 X2

Predictor Coef SE Coef T P
Constant 55.138 7.309 7.54 0.000
X1 -1.3736 0.4885 -2.81 0.020
X2 8.053 1.307 6.16 0.000

S = 6.07296 R-Sq = 93.1% R-Sq(adj) = 91.6%

Analysis of Variance

Source DF SS MS F P
Regression 2 4490.3 2245.2 60.88 0.000
Residual Error 9 331.9 36.9
Total 11 4822.3

Predicted Values for New Observations

New Obs Fit SE Fit 95% CI 95% PI
1 52.20 2.91 (45.62, 58.79) (36.97, 67.44)

Values of Predictors for New Observations

New Obs X1 X2
1 8.00 1.00

Correlations: Y, X1, X2

Y X1
X1 -0.800
0.002

X2 0.933 -0.660
0.000 0.020

Cell Contents: Pearson correlation
P-Value

a. Analyze the above output to determine the multiple regression equation.
b. Find and interpret the multiple index of determination (R-Sq).
c. Perform the t-tests on and on (use two tailed test with (= .05). Interpret your results.
d. Predict the monthly premium for an individual having 8 years of driving experience and 1 driving violation during the past 3 years. Use both a point estimate and the appropriate interval estimate.

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1. (TCO A) Seventeen salespeople reported the following number of sales calls completed last month.

72 93 82 81 82 97 102 107 119
86 88 91 83 93 73 100 102

a. Compute the mean, median, mode, and standard deviation, Q1, Q3, Min, and Max for the above sample data on number of sales calls per month.
b. In the context of this situation, interpret the Median, Q1, and Q3.

2. (TCO B) Cedar Home Furnishings has collected data on their customers in terms of whether they reside in an urban location or a suburban location, as well as rating the customers as either “good,” “borderline,” or “poor.” The data is below.
Urban Suburban Total
Good 60 168 228
Borderline 36 72 108
Poor 24 40 64
Total 120 280 400

If you choose a customer at random, then find the probability that the customer

a. is considered “borderline.”
b. is considered “good” and resides in an urban location.
c. is suburban, given that customer is considered “poor.”

3. (TCO B) Historically, 70% of your customers at Rodale Emporium pay for their purchases using credit cards. In a sample of 20 customers, find the probability that

a. exactly 14 customers will pay for their purchases using credit cards.
b. at least 10 customers will pay for their purchases using credit cards.
c. at most 12 customers will pay for their purchases using credit cards. (Points : 18)

4. (TCO B) The demand for gasoline at a local service station is normally distributed with a mean of 27,009 gallons per day and a standard deviation of 4,530 gallons per day.

a. Find the probability that the demand for gasoline exceeds 22,000 gallons for a given day.
b. Find the probability that the demand for gasoline falls between 20,000 and 23,000 gallons for a given day.
c. How many gallons of gasoline should be on hand at the beginning of each day so that we can meet the demand 90% of the time (i.e., the station stands a 10% chance of running out of gasoline for that day)?

5. (TCO C) An operations analyst from an airline company has been asked to develop a fairly accurate estimate of the mean refueling and baggage handling time at a foreign airport. A random sample of 36 refueling and baggage handling times yields the following results.

Sample Size = 36
Sample Mean = 24.2 minutes
Sample Standard Deviation = 4.2 minutes

a. Compute the 90% confidence interval for the population mean refueling and baggage time.
b. Interpret this interval.
c. How many refueling and baggage handling times should be sampled so that we may construct a 90% confidence interval with a sampling error of .5 minutes for the population mean refueling and baggage time?

6. (TCO C) The manufacturer of a certain brand of toothpaste claims that a high percentage of dentists recommend the use of their toothpaste. A random sample of 400 dentists results in 310 recommending their toothpaste.

a. Compute the 99% confidence interval for the population proportion of dentists who recommend the use of this toothpaste.
b. Interpret this confidence interval.
c. How large a sample size will need to be selected if we wish to have a 99% confidence interval that is accurate to within 3%?

7. (TCO D) A Ford Motor Company quality improvement team believes that its recently implemented defect reduction program has reduced the proportion of paint defects. Prior to the implementation of the program, the proportion of paint defects was .03 and had been stationary for the past 6 months. Ford selects a random sample of 2,000 cars built after the implementation of the defect reduction program. There were 45 cars with paint defects in that sample. Does the sample data provide evidence to conclude that the proportion of paint defects is now less than .03 (with = .01)? Use the hypothesis testing procedure outlined below.

a. Formulate the null and alternative hypotheses.
b. State the level of significance.
c. Find the critical value (or values), and clearly show the rejection and nonrejection regions.
d. Compute the test statistic.
e. Decide whether you can reject Ho and accept Ha or not.
f. Explain and interpret your conclusion in part e. What does this mean?
g. Determine the observed p-value for the hypothesis test and interpret this value. What does this mean?
h. Does the sample data provide evidence to conclude that the proportion of paint defects is now less than .03 (with = .01)?

8. (TCO D) A new car dealer calculates that the dealership must average more than 4.5% profit on sales of new cars. A random sample of 81 cars gives the following result.

Sample Size = 81
Sample Mean = 4.97%
Sample Standard Deviation = 1.8%

Does the sample data provide evidence to conclude that the dealership averages more than 4.5% profit on sales of new cars (using  = .10)? Use the hypothesis testing procedure outlined below.

a. Formulate the null and alternative hypotheses.
b. State the level of significance.
c. Find the critical value (or values), and clearly show the rejection and nonrejection regions.
d. Compute the test statistic.
e. Decide whether you can reject Ho and accept Ha or not.
f. Explain and interpret your conclusion in part e. What does this mean?
g. Determine the observed p-value for the hypothesis test and interpret this value. What does this mean?
h. Does the sample data provide evidence to conclude that the dealership averages more than 4.5% profit on sales of new cars (using  = .10)?

1. (TCO E) Bill McFarland is a real estate broker who specializes in selling farmland in a large western state. Because Bill advises many of his clients about pricing their land, he is interested in developing a pricing formula of some type. He feels he could increase his business significantly if he could accurately determine the value of a farmer’s land. A geologist tells Bill that the soil and rock characteristics in most of the area that Bill sells do not vary much. Thus the price of land should depend greatly on acreage. Bill selects a sample of 30 plots recently sold. The data is found below (in Minitab), where X=Acreage and Y=Price (\$1,000s).

PRICE ACREAGE PREDICT
60 20.0 50
130 40.5 250
25 10.2
300 100.0
85 30.0
182 56.5
115 41.0
24 10.0
60 18.5
92 30.0
77 25.6
122 42.0
41 14.0
200 70.0
42 13.0
60 21.6
20 6.5
145 45.0
61 19.2
235 80.0
250 90.0
278 95.0
118 41.0
46 14.0
69 22.0
220 81.5
235 78.0
50 16.0
25 10.0
290 100.0

Correlations: PRICE, ACREAGE

Pearson correlation of PRICE and ACREAGE = 0.997
P-Value = 0.000

Regression Analysis: PRICE versus ACREAGE

The regression equation is
PRICE = 2.26 + 2.89 ACREAGE

Predictor Coef SE Coef T P
Constant 2.257 2.231 1.01 0.320
ACREAGE 2.89202 0.04353 66.44 0.000

S = 7.21461 R-Sq = 99.4% R-Sq(adj) = 99.3%

Analysis of Variance

Source DF SS MS F P
Regression 1 229757 229757 4414.11 0.000
Residual Error 28 1457 52
Total 29 231215

Predicted Values for New Observations

New Obs Fit SE Fit 95% CI 95% PI
1 146.86 1.37 (144.05, 149.66) (131.82, 161.90)
2 725.26 9.18 (706.46, 744.06) (701.35, 749.17)XX

XX denotes a point that is an extreme outlier in the predictors.

Values of Predictors for New Observations

New Obs ACREAGE
1 50
2 250

a. Analyze the above output to determine the regression equation.
b. Find and interpret in the context of this problem.
c. Find and interpret the coefficient of determination (r-squared).
d. Find and interpret coefficient of correlation.
e. Does the data provide significant evidence (= .05) that the acreage can be used to predict the price? Test the utility of this model using a two-tailed test. Find the observed p-value and interpret.
f. Find the 95% confidence interval for mean price of plots of farmland that are 50 acres. Interpret this interval.
g. Find the 95% prediction interval for the price of a single plot of farmland that is 50 acres. Interpret this interval.
h. What can we say about the price for a plot of farmland that is 250 acres?

1. (TCO E) An insurance firm wishes to study the relationship between driving experience (X1, in years), number of driving violations in the past three years (X2), and current monthly auto insurance premium (Y). A sample of 12 insured drivers is selected at random. The data is given below (in MINITAB):

Y X1 X2 Predict X1 Predict X2
74 5 2 8 1
38 14 0
50 6 1
63 10 3
97 4 6
55 8 2
57 11 3
43 16 1
99 3 5
46 9 1
35 19 0
60 13 3

Regression Analysis: Y versus X1, X2

The regression equation is
Y = 55.1 – 1.37 X1 + 8.05 X2

Predictor Coef SE Coef T P
Constant 55.138 7.309 7.54 0.000
X1 -1.3736 0.4885 -2.81 0.020
X2 8.053 1.307 6.16 0.000

S = 6.07296 R-Sq = 93.1% R-Sq(adj) = 91.6%

Analysis of Variance

Source DF SS MS F P
Regression 2 4490.3 2245.2 60.88 0.000
Residual Error 9 331.9 36.9
Total 11 4822.3

Predicted Values for New Observations

New Obs Fit SE Fit 95% CI 95% PI
1 52.20 2.91 (45.62, 58.79) (36.97, 67.44)

Values of Predictors for New Observations

New Obs X1 X2
1 8.00 1.00

Correlations: Y, X1, X2

Y X1
X1 -0.800
0.002

X2 0.933 -0.660
0.000 0.020

Cell Contents: Pearson correlation
P-Value

a. Analyze the above output to determine the multiple regression equation.
b. Find and interpret the multiple index of determination (R-Sq).
c. Perform the t-tests on and on (use two tailed test with (= .05). Interpret your results.
d. Predict the monthly premium for an individual having 8 years of driving experience and 1 driving violation during the past 3 years. Use both a point estimate and the appropriate interval estimate.

For getting the solution, Please click on the “PURCHASE” link below to get MATH GM 533_Final_Exam_Complete Answer

For instant digital download of the above solution or tutorial, please click on the below link and make an instant purchase. You will be guided to the PAYPAL Standard payment page wherein you can pay and you will receive an email immediately with a download link. Please note that in case of technical glitch, the solutions will be emailed to you within 24 hours.

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## HRM 593 Employment Law_Final Exam Set 1 and 2 _Complete_Answer

HRM 593 Employment Law_Final Exam Set 1 and 2 _Complete_Answer

HRM 593 Employment Law_Final Exam Set 1 and 2 _Complete_Answer

HRM 593 Employment Law_Final Exam Set 1 and 2 _Complete_Answer

HRM 593 Employment Law_Final Exam Set 1 and 2 _Complete_Answer

HRM-593 Employment Law – Week 8 Final Devry HRM 593 HRM593, A+ Tutorial, fully answered
HRM-593 Employment Law – Week 8 Final Devry HRM 593 HRM593, A+ Tutorial, fully answered
HRM-593 Employment Law – Week 8 Final Devry HRM 593 HRM593, A+ Tutorial, fully answered
HRM-593 Employment Law – Week 8 Final Devry HRM 593 HRM593, A+ Tutorial, fully answered

Set 1:
Week 8 : Final Exam – Final Exam

Page 1

1. Carla Thomas, a nonsmoker, often encouraged her co-workers to quit smoking. Her new manager, Paul, a smoker, was annoyed by what he considered her constant nagging. He moved her desk from a separate room with a window to a cubicle surrounded by smokers, who smoked all day. Paul refused Carla’s request to create a no-smoking area in the office and he refused her request to be moved back to the separate room. After four weeks of breathing secondhand smoke, Carla quit. What, if any, recourse does Carla have against her former employer? Explain the possible legal theories for recovery, if any.
(Points : 40)

2. Mary Smith was an employee of Thomas Contracts, a pipeline construction company. Mary was supervised by H.D. Thomas, son of the owner of the business. She became involved in an affair with Thomas, who was married. Thomas ended the affair and subsequently fired Mary based on her performance since the affair began.

Mary filed a suit against Thomas Contracts, alleging that her discharge was due to gender discrimination, sex discrimination, and in violation of Title VII. Analyze and determine what important facts you would need to know in order to ascertain Mary’s likelihood of success here.
(Points : 50)

3. An ambulance service transports disabled individuals on a non-emergency basis. Jane was hired as a night dispatcher. She worked at home, and was required to be on duty to take calls for service from 5:00 p.m. to 8:00 a.m., Monday through Thursday, and from 9:00 p.m. Friday to 7:00 a.m. on Monday. She was paid \$550 per month. She was not given any special training, she was simply instructed how to fill in record sheets, and how to call the ambulance crew to notify them of the service request. Jane was free to engage in personal business as long as it did not interfere with the calls, and was able to leave her home as long as she made sure that someone was available to answer the phone.

The ambulance company claimed that Jane was an independent contractor and was exempt from the FLSA’s overtime and wage requirements. Jane filed suit to collect overtime and minimum wage back pay under the FLSA. Determine whether she will succeed. If you determine that she will succeed, explain the remedies available. Support your position with any applicable laws.
(Points : 50)

4. A & Z, Co. had a workplace policy of prohibiting the hiring of family members of current employees. On a number of occasions, however, the male children of current male employees had been hired, but no female children had ever been hired, even though many applied. Also, no children, male or female, of any current female employee, had ever been hired, even though, again, many had applied.

The female child of a current male employee files a lawsuit. Determine the legal basis for the claim and assess the likelihood of prevailing against A & Z, Co. Also from an employer perspective, what suggestions would you make in terms of best practices to minimize future legal liability? Utilize applicable law in your response if possible.
(Points : 50)

5. After noticing some items stolen from the store, a manager asked an employee, Frank, to take a polygraph test. Frank refused, claiming that he did not steal anything and he was asserting his rights of privacy to not assert to the test. Frank also reminded Jeff that he did not have access to the area where the stolen items were kept. Jeff, while reminding Frank that employees have no right to privacy in the workplace, fired Frank because he refused to take the polygraph test. Frank intends to file suit. Assess the likelihood that Frank will prevail in the suit.
(Points : 40)

6. 39-year-old Jim, who works for a new 5 year company that employs 30 individuals, feels that he is being discriminated against at work because of his age. Besides the CEO, he is the only other employee who is over the age of 30. Despite a stellar work record, he has recently been demoted and he often hears other employees referring to anyone over 30 as over-the-hill. Jim feels very uncomfortable at work. Assess whether Jim can bring a valid claim of age discrimination in this situation. What will the employer say in its defense? Give some management tips to this company as it relates to avoiding age related claims in the future. (Points : 50)

Set 2:

1. (TCO A) Nix has worked for ABC, Inc. for ten years. During the entire period of Nix’s employment, his performance had never been formally evaluated or criticized; he was never denied a raise or bonus. The company was doing extremely well, constantly hiring new employees. During the busiest time of the year, Nix told his boss that he had jury duty. Nix attended jury duty. Nix was terminated for refusing to decline to appear for jury duty. Even though the term of Nix’s employment is not specified by contract, does Nix have a cause of action against his employer arising out of the termination? Identify and analyze the possible causes of action available to Nix and the likelihood of prevailing in the litigation. Utilize applicable law to support your conclusions. (Points: 30)

2. (TCO B) Denora Sarin, a Cambodian immigrant and a practicing Buddhist, was employed as a systems engineer with Raytheon Company. Shortly after Sarin was assigned to work on a particular project, Goldberg, one of the workers, approached and taunted Sarin saying, “What’s Buddhism? What kind of Buddha do you worship—the skinny Buddha or the fat one? I want to fight you. You don’t fight me back.” Sarin also claimed to be physically harassed by another employee, but after Sarin reported the conduct to his supervisor, it was not repeated.

3. (TCO C) Matt worked for CTE as a management analyst. Matt suffered a heart attack and took medical leave from his job. Prior to the heart attack, his supervisor opened his locked drawer at work and found prescription drugs that were not prescribed to Matt. The supervisor thought Matt had been acting a bit strangely but decided he would confront him about it later. The supervisor did not confront Matt before the heart attack.

After six months, Matt was able to return to work on a part-time basis. Matt worked reduced hours for the next year. CTE was forced to reduce its workforce to cut costs. CTE conducted a performance appraisal of all managerial employees and discharged those with the lowest performance ratings. Matt, because of his part-time status, had one of the lowest performance ratings. The company did not look at performance pro-rata based on hours worked. Matt sued and alleged that he was wrongfully terminated in violation of the ADA. Matt alleged that his termination was a result of his disability. Identify and analyze the potential claims and defenses. Utilize case law to support your responses and conclusions.

(Points: 30)

4. (TCO D) A wrecking and heavy moving firm was moving a barn. As the barn was being towed across a field, it came close to three 7,200 volt power lines. A ball of fire was observed where the barn’s lighting rod either came to close to or actually touched, one of the power lines. Two employees were electrocuted and three more were injured. Analyzing the fact pattern, determine whether the company violated OSHA’s general duty clause, or was this merely an unfortunate accident? Assuming that passing close to the wires was unavoidable, identify the steps that the company might have taken to avoid the tragedy. (Points: 30)

5. (TCO E) Jerry Swanson owned Swanson Custom Cabinets. He works exclusively for Custom Kitchen Designs, Inc., building all of the cabinets for their clients. Mr. Swanson was injured on the job and filed a worker’s compensation claim which listed Custom Kitchen Designs as his employer. Based upon the foregoing, will Mr. Swanson be deemed an employee or an independent contractor? Analyze the fact pattern in conjunction with the legal factors that impact the employee versus independent contractor determination. Determine and explain the implications of this determination on Mr. Swanson’s worker’s compensation claim. Incorporate applicable law as you analyze and interpret the scenario in conjunction with the legal elements of the claims.

6. (TCO F) The retirees were employed by White Farms while the company was an affiliate of the White Motor Corporation. The dispute concerned the White Motor Corporation Insurance Plan for Salaried Employees, a non-funded, noncontribu­tory benefit plan that provided life, health, and welfare insurance, prescription drugs, hearing aid benefits, and dental care to retirees and their eligible dependents. White Motor employ­ees periodically received booklets describing their benefits under these plans.

The 1980 booklet described insurance pro­vided and carried the explicit disclaimer that it was “not the contract of insurance.” The book­let differentiated between different categories of salaried employees and appeared to have been prepared for distribution to both active and retired employees.

The 1985 booklet was addressed specifi­cally to retired employees. Much of the infor­mation in the booklet made no distinction between the Welfare Benefit Plan and the Pen­sion Plan, and its summary of an alleged can­cellation clause referred to both plans:

“The Company fully intends to continue your plans indefinitely. However, the Company does reserve the right to change the Plans, and, if necessary to discontinue them. If it is necessary to discontinue the Pension Plan, the assets of the Pension Fund will be used to pro­vide benefits according to the Plan document.”

No similar clause appeared in the 1980booklet.

While the company was undergoing court supervised reorganization under Chapter 11 of the Bankruptcy Code, it decided to dis­continue its noncontributory insurance coverage for its retired employees.

On the basis of the facts presented, assess whether the company is free to discontinue its noncontribu­tory insurance coverage for its retired employ­ees. Explain your conclusion and use applicable law to support your response.

7. (TCO G) Gomez, the hiring manager at a Sizzler restaurant in Arizona, extended an offer to Rodriquez after having a long-distance telephone conversation with him while Rodriquez was in California working for a Sizzler restaurant there. On Rodriquez’s arrival, Gomez asked to see evidence of Rodriquez’s authorization to work in the United States. Rodriquez offered a driver’s license and what looked like a Social Security card. Gomez did not look at the back of the card nor compare it to the example in the Immigration and Naturalization handbook. In fact, Rodriquez’s card was a forgery, and the INS has assessed a fine against Sizzler restaurant, claiming that Gomez knew or should have known that the card was false. Determine whether Sizzler is liable under the IRCA. Identify and integrate applicable law and statutory authority to provide validity for your response. (Points: 30)

8. (TCO H) A & Z, Co. had a workplace policy of prohibiting the hiring of family members of current employees. On a number of occasions, however, the male children of current male employees had been hired, but no female children have ever been hired, even though many applied. Also, no children, male or female, of any current female employee, had ever been hired, even though, again, many had applied.

The female child of a current male employee files a lawsuit. Determine the legal basis for the claim and assess the likelihood of prevailing against A & Z, Co. From an employer perspective, what suggestions would you make in terms of best practices to minimize future legal liability? Utilize applicable law in your response. (Points: 30)

For instant digital download of the above solution or tutorial, please click on the below link and make an instant purchase. You will be guided to the PAYPAL Standard payment page wherein you can pay and you will receive an email immediately with a download link. Please note that in case of technical glitch, the solutions will be emailed to you within 24 hours.

Posted on

## HRM 593 Employment Law_Final Exam Set 1 and 2 _Complete_Answer

HRM 593 Employment Law_Final Exam Set 1 and 2 _Complete_Answer

HRM 593 Employment Law_Final Exam Set 1 and 2 _Complete_Answer

HRM 593 Employment Law_Final Exam Set 1 and 2 _Complete_Answer

HRM 593 Employment Law_Final Exam Set 1 and 2 _Complete_Answer

HRM-593 Employment Law – Week 8 Final Devry HRM 593 HRM593, A+ Tutorial, fully answered
HRM-593 Employment Law – Week 8 Final Devry HRM 593 HRM593, A+ Tutorial, fully answered
HRM-593 Employment Law – Week 8 Final Devry HRM 593 HRM593, A+ Tutorial, fully answered
HRM-593 Employment Law – Week 8 Final Devry HRM 593 HRM593, A+ Tutorial, fully answered

Set 1:
Week 8 : Final Exam – Final Exam

Page 1

1. Carla Thomas, a nonsmoker, often encouraged her co-workers to quit smoking. Her new manager, Paul, a smoker, was annoyed by what he considered her constant nagging. He moved her desk from a separate room with a window to a cubicle surrounded by smokers, who smoked all day. Paul refused Carla’s request to create a no-smoking area in the office and he refused her request to be moved back to the separate room. After four weeks of breathing secondhand smoke, Carla quit. What, if any, recourse does Carla have against her former employer? Explain the possible legal theories for recovery, if any.
(Points : 40)

2. Mary Smith was an employee of Thomas Contracts, a pipeline construction company. Mary was supervised by H.D. Thomas, son of the owner of the business. She became involved in an affair with Thomas, who was married. Thomas ended the affair and subsequently fired Mary based on her performance since the affair began.

Mary filed a suit against Thomas Contracts, alleging that her discharge was due to gender discrimination, sex discrimination, and in violation of Title VII. Analyze and determine what important facts you would need to know in order to ascertain Mary’s likelihood of success here.
(Points : 50)

3. An ambulance service transports disabled individuals on a non-emergency basis. Jane was hired as a night dispatcher. She worked at home, and was required to be on duty to take calls for service from 5:00 p.m. to 8:00 a.m., Monday through Thursday, and from 9:00 p.m. Friday to 7:00 a.m. on Monday. She was paid \$550 per month. She was not given any special training, she was simply instructed how to fill in record sheets, and how to call the ambulance crew to notify them of the service request. Jane was free to engage in personal business as long as it did not interfere with the calls, and was able to leave her home as long as she made sure that someone was available to answer the phone.

The ambulance company claimed that Jane was an independent contractor and was exempt from the FLSA’s overtime and wage requirements. Jane filed suit to collect overtime and minimum wage back pay under the FLSA. Determine whether she will succeed. If you determine that she will succeed, explain the remedies available. Support your position with any applicable laws.
(Points : 50)

4. A & Z, Co. had a workplace policy of prohibiting the hiring of family members of current employees. On a number of occasions, however, the male children of current male employees had been hired, but no female children had ever been hired, even though many applied. Also, no children, male or female, of any current female employee, had ever been hired, even though, again, many had applied.

The female child of a current male employee files a lawsuit. Determine the legal basis for the claim and assess the likelihood of prevailing against A & Z, Co. Also from an employer perspective, what suggestions would you make in terms of best practices to minimize future legal liability? Utilize applicable law in your response if possible.
(Points : 50)

5. After noticing some items stolen from the store, a manager asked an employee, Frank, to take a polygraph test. Frank refused, claiming that he did not steal anything and he was asserting his rights of privacy to not assert to the test. Frank also reminded Jeff that he did not have access to the area where the stolen items were kept. Jeff, while reminding Frank that employees have no right to privacy in the workplace, fired Frank because he refused to take the polygraph test. Frank intends to file suit. Assess the likelihood that Frank will prevail in the suit.
(Points : 40)

6. 39-year-old Jim, who works for a new 5 year company that employs 30 individuals, feels that he is being discriminated against at work because of his age. Besides the CEO, he is the only other employee who is over the age of 30. Despite a stellar work record, he has recently been demoted and he often hears other employees referring to anyone over 30 as over-the-hill. Jim feels very uncomfortable at work. Assess whether Jim can bring a valid claim of age discrimination in this situation. What will the employer say in its defense? Give some management tips to this company as it relates to avoiding age related claims in the future. (Points : 50)

Set 2:

1. (TCO A) Nix has worked for ABC, Inc. for ten years. During the entire period of Nix’s employment, his performance had never been formally evaluated or criticized; he was never denied a raise or bonus. The company was doing extremely well, constantly hiring new employees. During the busiest time of the year, Nix told his boss that he had jury duty. Nix attended jury duty. Nix was terminated for refusing to decline to appear for jury duty. Even though the term of Nix’s employment is not specified by contract, does Nix have a cause of action against his employer arising out of the termination? Identify and analyze the possible causes of action available to Nix and the likelihood of prevailing in the litigation. Utilize applicable law to support your conclusions. (Points: 30)

2. (TCO B) Denora Sarin, a Cambodian immigrant and a practicing Buddhist, was employed as a systems engineer with Raytheon Company. Shortly after Sarin was assigned to work on a particular project, Goldberg, one of the workers, approached and taunted Sarin saying, “What’s Buddhism? What kind of Buddha do you worship—the skinny Buddha or the fat one? I want to fight you. You don’t fight me back.” Sarin also claimed to be physically harassed by another employee, but after Sarin reported the conduct to his supervisor, it was not repeated.

3. (TCO C) Matt worked for CTE as a management analyst. Matt suffered a heart attack and took medical leave from his job. Prior to the heart attack, his supervisor opened his locked drawer at work and found prescription drugs that were not prescribed to Matt. The supervisor thought Matt had been acting a bit strangely but decided he would confront him about it later. The supervisor did not confront Matt before the heart attack.

After six months, Matt was able to return to work on a part-time basis. Matt worked reduced hours for the next year. CTE was forced to reduce its workforce to cut costs. CTE conducted a performance appraisal of all managerial employees and discharged those with the lowest performance ratings. Matt, because of his part-time status, had one of the lowest performance ratings. The company did not look at performance pro-rata based on hours worked. Matt sued and alleged that he was wrongfully terminated in violation of the ADA. Matt alleged that his termination was a result of his disability. Identify and analyze the potential claims and defenses. Utilize case law to support your responses and conclusions.

(Points: 30)

4. (TCO D) A wrecking and heavy moving firm was moving a barn. As the barn was being towed across a field, it came close to three 7,200 volt power lines. A ball of fire was observed where the barn’s lighting rod either came to close to or actually touched, one of the power lines. Two employees were electrocuted and three more were injured. Analyzing the fact pattern, determine whether the company violated OSHA’s general duty clause, or was this merely an unfortunate accident? Assuming that passing close to the wires was unavoidable, identify the steps that the company might have taken to avoid the tragedy. (Points: 30)

5. (TCO E) Jerry Swanson owned Swanson Custom Cabinets. He works exclusively for Custom Kitchen Designs, Inc., building all of the cabinets for their clients. Mr. Swanson was injured on the job and filed a worker’s compensation claim which listed Custom Kitchen Designs as his employer. Based upon the foregoing, will Mr. Swanson be deemed an employee or an independent contractor? Analyze the fact pattern in conjunction with the legal factors that impact the employee versus independent contractor determination. Determine and explain the implications of this determination on Mr. Swanson’s worker’s compensation claim. Incorporate applicable law as you analyze and interpret the scenario in conjunction with the legal elements of the claims.

6. (TCO F) The retirees were employed by White Farms while the company was an affiliate of the White Motor Corporation. The dispute concerned the White Motor Corporation Insurance Plan for Salaried Employees, a non-funded, noncontribu­tory benefit plan that provided life, health, and welfare insurance, prescription drugs, hearing aid benefits, and dental care to retirees and their eligible dependents. White Motor employ­ees periodically received booklets describing their benefits under these plans.

The 1980 booklet described insurance pro­vided and carried the explicit disclaimer that it was “not the contract of insurance.” The book­let differentiated between different categories of salaried employees and appeared to have been prepared for distribution to both active and retired employees.

The 1985 booklet was addressed specifi­cally to retired employees. Much of the infor­mation in the booklet made no distinction between the Welfare Benefit Plan and the Pen­sion Plan, and its summary of an alleged can­cellation clause referred to both plans:

“The Company fully intends to continue your plans indefinitely. However, the Company does reserve the right to change the Plans, and, if necessary to discontinue them. If it is necessary to discontinue the Pension Plan, the assets of the Pension Fund will be used to pro­vide benefits according to the Plan document.”

No similar clause appeared in the 1980booklet.

While the company was undergoing court supervised reorganization under Chapter 11 of the Bankruptcy Code, it decided to dis­continue its noncontributory insurance coverage for its retired employees.

On the basis of the facts presented, assess whether the company is free to discontinue its noncontribu­tory insurance coverage for its retired employ­ees. Explain your conclusion and use applicable law to support your response.

7. (TCO G) Gomez, the hiring manager at a Sizzler restaurant in Arizona, extended an offer to Rodriquez after having a long-distance telephone conversation with him while Rodriquez was in California working for a Sizzler restaurant there. On Rodriquez’s arrival, Gomez asked to see evidence of Rodriquez’s authorization to work in the United States. Rodriquez offered a driver’s license and what looked like a Social Security card. Gomez did not look at the back of the card nor compare it to the example in the Immigration and Naturalization handbook. In fact, Rodriquez’s card was a forgery, and the INS has assessed a fine against Sizzler restaurant, claiming that Gomez knew or should have known that the card was false. Determine whether Sizzler is liable under the IRCA. Identify and integrate applicable law and statutory authority to provide validity for your response. (Points: 30)

8. (TCO H) A & Z, Co. had a workplace policy of prohibiting the hiring of family members of current employees. On a number of occasions, however, the male children of current male employees had been hired, but no female children have ever been hired, even though many applied. Also, no children, male or female, of any current female employee, had ever been hired, even though, again, many had applied.

The female child of a current male employee files a lawsuit. Determine the legal basis for the claim and assess the likelihood of prevailing against A & Z, Co. From an employer perspective, what suggestions would you make in terms of best practices to minimize future legal liability? Utilize applicable law in your response. (Points: 30)

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## GM 588 Week 8 Final Exam 100% All Correct Answers

GM588 Week 8 Final Exam 100% All Correct Answers

GM588 Week 8 Final Exam 100% All Correct Answers

GM588 Week 8 Final Exam 100% All Correct Answers

GM588 Week 8 Final Exam 100% All Correct Answers

GM588 Week 8 Final Exam 100% Correct Answers

General Questions – General General Questions

(TCO E) Suggested reasons why many customer satisfaction efforts fail include all of the following EXCEPT:

(TCO D) The Six-Sigma problem solving approach contains the phases of:

(TCO C) Terms such as “kanban”, “single minute exchange of dies”, and “visual controls” are most closely associated with:

(TCO C) Poka-yoke focuses on two aspects:

(TCO B) _____ measures are generally tracked by senior leadership to gauge overall organizational performance.

(TCO I) The cost of purchasing copies of a textbook on quality for employees as part of their training program in process improvement methods is considered:

TCO A) Which of the following is NOT a characteristic of a Six Sigma project?

(TCO B) A set of financial, market, operational, and employee performance measures for management review and use is an example of:

(TCO D) The Baldrige Award criteria, as a tool for self-assessment:

(TCO H) Focusing on how to maintain improvements occurs in which DMAIC phase?

(TCO B) Explain why it is difficult to obtain a single, universal definition of quality. Be specific in your response.

(TCO I) What criterion is used to classify a failure cost as “internal” versus “external”? Give three examples of an internal failure cost and three examples of an external failure cost.

(TCO I) What criterion is used to classify a failure cost as “internal” versus “external”? Give three examples of an internal failure cost and three examples of an external failure cost.

(TCO F) Explain in detail why change is necessary in organizations. Describe the effects that change can have on quality management with respect to employee commitment and quality levels.

(TCO H) Describe the six basic steps required to build the House of Quality. Describe, in general, where in the House are customer and technical requirements located. Also explain why it is important that each area of the House is “linked” with the others.

(TCO H) Describe the six basic steps required to build the House of Quality. Describe, in general, where in the House are customer and technical requirements located. Also explain why it is important that each area of the House is “linked” with the others.

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## GM 588 Week 8 Final Exam 100% All Correct Answers

GM588 Week 8 Final Exam 100% All Correct Answers

GM588 Week 8 Final Exam 100% All Correct Answers

GM588 Week 8 Final Exam 100% All Correct Answers

GM588 Week 8 Final Exam 100% All Correct Answers

GM588 Week 8 Final Exam 100% Correct Answers

General Questions – General General Questions

(TCO E) Suggested reasons why many customer satisfaction efforts fail include all of the following EXCEPT:

(TCO D) The Six-Sigma problem solving approach contains the phases of:

(TCO C) Terms such as “kanban”, “single minute exchange of dies”, and “visual controls” are most closely associated with:

(TCO C) Poka-yoke focuses on two aspects:

(TCO B) _____ measures are generally tracked by senior leadership to gauge overall organizational performance.

(TCO I) The cost of purchasing copies of a textbook on quality for employees as part of their training program in process improvement methods is considered:

TCO A) Which of the following is NOT a characteristic of a Six Sigma project?

(TCO B) A set of financial, market, operational, and employee performance measures for management review and use is an example of:

(TCO D) The Baldrige Award criteria, as a tool for self-assessment:

(TCO H) Focusing on how to maintain improvements occurs in which DMAIC phase?

(TCO B) Explain why it is difficult to obtain a single, universal definition of quality. Be specific in your response.

(TCO I) What criterion is used to classify a failure cost as “internal” versus “external”? Give three examples of an internal failure cost and three examples of an external failure cost.

(TCO I) What criterion is used to classify a failure cost as “internal” versus “external”? Give three examples of an internal failure cost and three examples of an external failure cost.

(TCO F) Explain in detail why change is necessary in organizations. Describe the effects that change can have on quality management with respect to employee commitment and quality levels.

(TCO H) Describe the six basic steps required to build the House of Quality. Describe, in general, where in the House are customer and technical requirements located. Also explain why it is important that each area of the House is “linked” with the others.

(TCO H) Describe the six basic steps required to build the House of Quality. Describe, in general, where in the House are customer and technical requirements located. Also explain why it is important that each area of the House is “linked” with the others.

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## HRM 593 Employment Law_Final Exam _Complete_Answer

HRM 593 Employment Law_Final Exam _Complete_Answer

HRM 593 Employment Law_Final Exam _Complete_Answer

HRM 593 Employment Law_Final Exam _Complete_Answer

HRM 593 Employment Law_Final Exam _Complete_Answer

HRM-593 Employment Law – Week 8 Final Devry HRM 593 HRM593, A+ Tutorial, fully answered
HRM-593 Employment Law – Week 8 Final Devry HRM 593 HRM593, A+ Tutorial, fully answered
HRM-593 Employment Law – Week 8 Final Devry HRM 593 HRM593, A+ Tutorial, fully answered
HRM-593 Employment Law – Week 8 Final Devry HRM 593 HRM593, A+ Tutorial, fully answered

1. (TCO A) Nix has worked for ABC, Inc. for ten years. During the entire period of Nix’s employment, his performance had never been formally evaluated or criticized; he was never denied a raise or bonus. The company was doing extremely well, constantly hiring new employees. During the busiest time of the year, Nix told his boss that he had jury duty. Nix attended jury duty. Nix was terminated for refusing to decline to appear for jury duty. Even though the term of Nix’s employment is not specified by contract, does Nix have a cause of action against his employer arising out of the termination? Identify and analyze the possible causes of action available to Nix and the likelihood of prevailing in the litigation. Utilize applicable law to support your conclusions. (Points: 30)

2. (TCO B) Denora Sarin, a Cambodian immigrant and a practicing Buddhist, was employed as a systems engineer with Raytheon Company. Shortly after Sarin was assigned to work on a particular project, Goldberg, one of the workers, approached and taunted Sarin saying, “What’s Buddhism? What kind of Buddha do you worship—the skinny Buddha or the fat one? I want to fight you. You don’t fight me back.” Sarin also claimed to be physically harassed by another employee, but after Sarin reported the conduct to his supervisor, it was not repeated.

3. (TCO C) Matt worked for CTE as a management analyst. Matt suffered a heart attack and took medical leave from his job. Prior to the heart attack, his supervisor opened his locked drawer at work and found prescription drugs that were not prescribed to Matt. The supervisor thought Matt had been acting a bit strangely but decided he would confront him about it later. The supervisor did not confront Matt before the heart attack.

After six months, Matt was able to return to work on a part-time basis. Matt worked reduced hours for the next year. CTE was forced to reduce its workforce to cut costs. CTE conducted a performance appraisal of all managerial employees and discharged those with the lowest performance ratings. Matt, because of his part-time status, had one of the lowest performance ratings. The company did not look at performance pro-rata based on hours worked. Matt sued and alleged that he was wrongfully terminated in violation of the ADA. Matt alleged that his termination was a result of his disability. Identify and analyze the potential claims and defenses. Utilize case law to support your responses and conclusions.

(Points: 30)

4. (TCO D) A wrecking and heavy moving firm was moving a barn. As the barn was being towed across a field, it came close to three 7,200 volt power lines. A ball of fire was observed where the barn’s lighting rod either came to close to or actually touched, one of the power lines. Two employees were electrocuted and three more were injured. Analyzing the fact pattern, determine whether the company violated OSHA’s general duty clause, or was this merely an unfortunate accident? Assuming that passing close to the wires was unavoidable, identify the steps that the company might have taken to avoid the tragedy. (Points: 30)

5. (TCO E) Jerry Swanson owned Swanson Custom Cabinets. He works exclusively for Custom Kitchen Designs, Inc., building all of the cabinets for their clients. Mr. Swanson was injured on the job and filed a worker’s compensation claim which listed Custom Kitchen Designs as his employer. Based upon the foregoing, will Mr. Swanson be deemed an employee or an independent contractor? Analyze the fact pattern in conjunction with the legal factors that impact the employee versus independent contractor determination. Determine and explain the implications of this determination on Mr. Swanson’s worker’s compensation claim. Incorporate applicable law as you analyze and interpret the scenario in conjunction with the legal elements of the claims.

6. (TCO F) The retirees were employed by White Farms while the company was an affiliate of the White Motor Corporation. The dispute concerned the White Motor Corporation Insurance Plan for Salaried Employees, a non-funded, noncontribu­tory benefit plan that provided life, health, and welfare insurance, prescription drugs, hearing aid benefits, and dental care to retirees and their eligible dependents. White Motor employ­ees periodically received booklets describing their benefits under these plans.

The 1980 booklet described insurance pro­vided and carried the explicit disclaimer that it was “not the contract of insurance.” The book­let differentiated between different categories of salaried employees and appeared to have been prepared for distribution to both active and retired employees.

The 1985 booklet was addressed specifi­cally to retired employees. Much of the infor­mation in the booklet made no distinction between the Welfare Benefit Plan and the Pen­sion Plan, and its summary of an alleged can­cellation clause referred to both plans:

“The Company fully intends to continue your plans indefinitely. However, the Company does reserve the right to change the Plans, and, if necessary to discontinue them. If it is necessary to discontinue the Pension Plan, the assets of the Pension Fund will be used to pro­vide benefits according to the Plan document.”

No similar clause appeared in the 1980booklet.

While the company was undergoing court supervised reorganization under Chapter 11 of the Bankruptcy Code, it decided to dis­continue its noncontributory insurance coverage for its retired employees.

On the basis of the facts presented, assess whether the company is free to discontinue its noncontribu­tory insurance coverage for its retired employ­ees. Explain your conclusion and use applicable law to support your response.

7. (TCO G) Gomez, the hiring manager at a Sizzler restaurant in Arizona, extended an offer to Rodriquez after having a long-distance telephone conversation with him while Rodriquez was in California working for a Sizzler restaurant there. On Rodriquez’s arrival, Gomez asked to see evidence of Rodriquez’s authorization to work in the United States. Rodriquez offered a driver’s license and what looked like a Social Security card. Gomez did not look at the back of the card nor compare it to the example in the Immigration and Naturalization handbook. In fact, Rodriquez’s card was a forgery, and the INS has assessed a fine against Sizzler restaurant, claiming that Gomez knew or should have known that the card was false. Determine whether Sizzler is liable under the IRCA. Identify and integrate applicable law and statutory authority to provide validity for your response. (Points: 30)

8. (TCO H) A & Z, Co. had a workplace policy of prohibiting the hiring of family members of current employees. On a number of occasions, however, the male children of current male employees had been hired, but no female children have ever been hired, even though many applied. Also, no children, male or female, of any current female employee, had ever been hired, even though, again, many had applied.

The female child of a current male employee files a lawsuit. Determine the legal basis for the claim and assess the likelihood of prevailing against A & Z, Co. From an employer perspective, what suggestions would you make in terms of best practices to minimize future legal liability? Utilize applicable law in your response. (Points: 30)

For instant digital download of the above solution or tutorial, please click on the below link and make an instant purchase. You will be guided to the PAYPAL Standard payment page wherein you can pay and you will receive an email immediately with a download link. Please note that in case of technical glitch, the solutions will be emailed to you within 24 hours.

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## GM 533 Applied Managerial Statistics Finals Complete_Answer

GM 533 Applied Managerial Statistics Finals Complete_Answer

GM 533 Applied Managerial Statistics Finals Complete_Answer

GM 533 Applied Managerial Statistics Finals Complete_Answer

GM 533 Applied Managerial Statistics Finals Complete_Answer

1. (TCO D) PuttingPeople2Work has a growing business placing out-of-work MBAs. They claim they can place a client in a job in their field in less than 36 weeks. You are given the following data from a sample.
Sample size: 100
Population standard deviation: 5
Sample mean: 34.2
Formulate a hypothesis test to evaluate the claim. (Points : 10)
Ho: µ = 36; Ha: µ ≠ 36
Ho: µ ≥ 36; Ha: µ < 36 Ho: µ ≤ 34.2; Ha: µ > 34.2
Ho: µ > 36; Ha: µ ≤ 36

2. (TCO B) The Republican party is interested in studying the number of republicans that might vote in a particular congressional district. Assume that the number of voters is binomially distributed by party affiliation (either republican or not republican). If 10 people show up at the polls, determine the following:

Binomial distribution

10 n
0.5 p

X P(X) cumulative
probability
0 0.00098 0.00098
1 0.00977 0.01074
2 0.04395 0.05469
3 0.11719 0.17188
4 0.20508 0.37695
5 0.24609 0.62305
6 0.20508 0.82813
7 0.11719 0.94531
8 0.04395 0.98926
9 0.00977 0.99902
10 0.00098 1.00000

What is the probability that no more than four will be republicans? (Points : 10)
38%
12%
21%
62%

3. (TCO A) Company ABC had sales per month as listed below. Using the Minitab output given, determine:
(A) Range (5 points);
(B) Median (5 points); and
(C) The range of the data that would contain 68% of the results. (5 points).
Raw data: sales/month (Millions of \$)
23
45
34
34
56
67
54
34
45
56
23
19

Descriptive Statistics: Sales
Variable Total Count Mean StDev Variance Minimum Maximum Range
Sales 12 40.83 15.39 236.88 19.00 67.00 48.00

Stem-and-Leaf Display: Sales
Stem-and-leaf of Sales N = 12
Leaf Unit = 1.0
1 1 9
3 2 33
3 2
6 3 444
6 3
6 4
6 4 55
4 5 4
3 5 66
1 6
1 6 7

Reference:
(TCO A) Company ABC had sales per month as listed below. Using the MegaStat output given, determine:
(A) Range (5 points)
(B) Median (5 points)
(C) The range of the data that would contain 68% of the results. (5 points)

Raw data: sales/month (Millions of \$)
19
34
23
34
56
45
35
36
46
47
19
23

4. (TCO C, D) Tesla Motors needs to buy axles for their new car. They are considering using Chris Cross Manufacturing as a vendor. Tesla’s requirement is that 95% of the axles are 100 cm ± 2 cm. The following data is from a test run from Chris Cross Manufacturing. Should Tesla select them as a vendor? Explain your answer.

Descriptive statistics

count 16
mean 99.850
sample variance 4.627
sample standard deviation 2.151
minimum 96.9
maximum 104
range 7.1
population variance 4.338
population standard deviation 2.083
standard error of the mean 0.538
tolerance interval 95.45% lower 95.548
tolerance interval 95.45% upper 104.152
margin of error 4.302
1st quartile 98.850
median 99.200
3rd quartile 100.550
interquartile range 1.700
mode 103.000
(Points : 25)

5. (TCO D) A PC manufacturer claims that no more than 2% of their machines are defective. In a random sample of 100 machines, it is found that 4.5% are defective. The manufacturer claims this is a fluke of the sample. At a .02 level of significance, test the manufacturer’s claim, and explain your answer.

Test and CI for One Proportion
Test of p = 0.02 vs p > 0.02

Sample X N Sample p 98% Lower Bound Z-Value P-Value
1 4 100 0.040000 0.000000 1.43 0.077

Finals page 2
1. (TCO B) The following table gives the number of visits to recreational facilities by kind and geographical region.
(Points : 30)

finals 2 -2
2. (TCO B, F) The length of time Americans exercise each week is normally distributed with a mean of 15.8 minutes and a standard deviation of 2.2 minutes

X P(X≤x) P(X≥x) Mean Std dev
11 .0146 .9854 15.8 2.2
15 .3581 .6419 15.8 2.2
21 .9910 .0090 15.8 2.2
24 .9999 .0001 15.8 2.2
p(lower) p(upper)

(A) Analyze the output above to determine what percentage of Americans will exercise between 11 and 21 minutes per week. (15 points)
(B) What percentage of Americans will exercise less than 15 minutes? If 1000 Americans were evaluated, how many would you expect to have exercised less than 15 minutes? (15 points) (Points : 30)

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