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## Statistics

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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