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Management training programs are often conducted in order to teach supervisory s

ID: 3171054 • Letter: M

Question

Management training programs are often conducted in order to teach supervisory skills and thereby increase productivity. An industrial psychologist at a large company administers a similar test to six supervisors before and after a training program. The tests are designed to measure whether the training program significantly increased supervisory skills. Use =0.01.

X1 =Before Training

X2 =After Training

D=X2 – X1

D2=(X2 – X1)2

1

63

78

15

225

2

84

85

1

1

3

91

99

8

64

4

71

82

11

121

5

80

78

-2

4

6

83

84

1

1

D =34

D2 = 416

D =

D=After Training – Before Training = D=X2 – X1

17. State the Alternative Hypothesis

A
B            
C            
D
E None of the above

Answer for 17: A

18. Determine the mean D of the differences D=X2 – X1.
A -5.67
B 5.67            
C 3.67
D -8.43                       
E None of the above

19. Compute the standard deviation of the differences
A 6.01
B 5.78                        
C -6.68
D 6.68                                    
E None of the above

20. What critical value should be used at = 0.01?
A 4.032
B 3.707
C 3.365                                  
D 3.143
E None of the above

21. Determine the test statistic
A2.08
B 1.34
C 3.39
D -2.00           
E None of the above

22. What is the p-value?

A 0.0460                                            

B 0.4603                                            
C 0.0921

D -0.0460

E None of the above

23. At =0.01 the correct decision and conclusion are

A Reject H0, the training program significantly increased supervisory skills.
B Do not reject H0, the training program did not significantly increase supervisory skills.
C Reject H0, the training program did not significantly increase supervisory skills.
D Do not reject H0, the training program significantly increased supervisory skills.
E Insufficient information to make a decision

X1 =Before Training

X2 =After Training

D=X2 – X1

D2=(X2 – X1)2

1

63

78

15

225

2

84

85

1

1

3

91

99

8

64

4

71

82

11

121

5

80

78

-2

4

6

83

84

1

1

D =34

D2 = 416

D =

Explanation / Answer

18. Determine the mean D of the differences D=X2 – X1.

A -5.67
B 5.67            
C 3.67
D -8.43                       
E None of the above

Solution:

We are given

D = 34 and n = 6

The formula for Dbar is given as below:

Dbar = D/n = 34/6 = 5.666667

Correct Answer: B. 5.67

19. Compute the standard deviation of the differences
A 6.01
B 5.78                        
C -6.68
D 6.68                                    
E None of the above

Solution:

Standard deviation = sqrt[(D - Dbar)^2 / (n – 1)]

Calculation table is given as below:

D

(D - Dbar)^2

15

87.0489

1

21.8089

8

5.4289

11

28.4089

-2

58.8289

1

21.8089

Total

223.3334

(D - Dbar)^2 = 223.3334

(n – 1) = 6 – 1 = 5

[(D - Dbar)^2 / (n – 1)] = 223.3334/5 = 44.66668

Standard deviation = sqrt(44.66668) = 6.683313549

Correct Answer: D. 6.68

20. What critical value should be used at = 0.01?
A 4.032
B 3.707
C 3.365                                  
D 3.143
E None of the above

Solution:

We are given sample size n = 6

Degrees of freedom = n – 1 = 6 – 1 = 5

Level of significance = alpha = 0.01

Test is one tailed.

So, by using t-table or excel

Critical value = 3.365

Correct answer: C. 3.365

21. Determine the test statistic

A2.08
B 1.34
C 3.39
D -2.00           
E None of the above

Solution:

Test statistic formula is given as below:

Test statistic = t = Dbar / [Sd/sqrt(n)]

Test statistic = t = 5.6667/[6.6833/sqrt(6)]

Test statistic = t = 2.076896672

Correct Answer: A. 2.08

D

(D - Dbar)^2

15

87.0489

1

21.8089

8

5.4289

11

28.4089

-2

58.8289

1

21.8089

Total

223.3334

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