WHat could be an added description for the following data set? DATA SET A company institutes an exercise break for its workers to see if this will improve job satisfaction, as measured by a questionnaire that assesses workers’ satisfaction. Scores for 10 randomly selected workers before and after implementation of the exercise program are shown. The company wants to assess the effectiveness of the exercise program. EMPLOYEE SATISFACTION Employe ID Before After 1 34 33 2 28 36 3 29 50 4 45 41 5 26 37 6 27 41 7 24 39 8 15 21 9 15 20 10 27 37 Independent Variable: Exercise Break Dependent Variable: Satisfaction Score
WHat could be an added description for the following data set?
- DATA SET
A company institutes an exercise break for its workers to see if this will improve job satisfaction, as measured by a questionnaire that assesses workers’ satisfaction. Scores for 10 randomly selected workers before and after implementation of the exercise program are shown. The company wants to assess the effectiveness of the exercise program.
|
|
EMPLOYEE SATISFACTION |
|
|
Employe ID |
Before |
After |
|
1 |
34 |
33 |
|
2 |
28 |
36 |
|
3 |
29 |
50 |
|
4 |
45 |
41 |
|
5 |
26 |
37 |
|
6 |
27 |
41 |
|
7 |
24 |
39 |
|
8 |
15 |
21 |
|
9 |
15 |
20 |
|
10 |
27 |
37 |
Independent Variable: Exercise Break
Dependent Variable: Satisfaction Score
Given that,
Sample size = 10 workers
µd = Population mean score difference before and after
In order to test whether the mean difference between the employee satisfaction score before and after exercise program, we need to perform the parametric test called 'Paired/Matched sample t-test'. The null and alternative hypotheses are stated as follows:
Hypotheses:
Null Hypothesis H0: µd =0
That is, there is no significant mean difference in the employee satisfaction scores before and after exercise program.
Alternative Hypothesis H1: µd ≠ 0 (Two tailed Test)
That is, there is significant mean difference in the employee satisfaction scores before and after exercise program.
Level of significance α = 0.05 (consider)
Trending now
This is a popular solution!
Step by step
Solved in 4 steps with 2 images
