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Chi-square test for independence of attributes.

 

 

Column1

Column2

Column3

Column4

Column5

 

1st shift hourly

1st shift salary

2nd shift hourly

3rd shift hourly

Total

Supervisor listens to employee

34

12

8

13

67

Supervisor does not listen to employee

16

3

10

4

33

Good working environment

31

11

6

9

57

Poor working environment

19

4

12

8

43

Opportunity for advancement

32

13

8

7

60

Lack of opportunity for advancement

18

2

10

10

40

Employee feels appreciated

33

12

9

8

62

Employee does not feel appreciated

17

3

9

9

38

 

The stable above is an entire population sample of 100 employees

The null hypothesis is H0: there is no difference in the results between the shifts.

Alternate hypothesis is H1: there is a difference in the results between the shifts

1.      With the table above, what is the best Test statistic to use from the following?

 Chi-square

 Z-test

T-test

Analysis of Variance (ANOVA

Regression

Describe your reason for choosing the test statistic you chose

2.      With the test statistic you chose, work out the problem with solution using .05 level of significance if it applies

Statistics and Probability, Statistics

  • Category:- Statistics and Probability
  • Reference No.:- M919937

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