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Chi-Square Test for Independence   Using Chi-Square, we are looking to see if there is a significant...

Chi-Square Test for Independence  

Using Chi-Square, we are looking to see if there is a significant difference between what we would expect results to be, and what the actual results were.  That is, expected vs. observed.   Use alpha = .05

Listed below are data from a survey conducted recently where Males and Females responded to their happiness with their supervisor (this is fictitious data).  

Response

Male

Female

Total

Not at all

23

25

48

Somewhat

13

22

35

Very

26

16

42

Total

62

63

125

What is your null hypothesis?

What is your alternative hypothesis?

What is the Chi-Square value?

Is there significance evidence that a difference exists between the actual males and female responses in this sample and the expected male/female responses in the population?  YES OR NO

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Answer #1

H0: there significance no evidence that a difference exists between the actual males and female responses in this sample and the expected male/female responses in the population

H1: there significance evidence that a difference exists between the actual males and female responses in this sample and the expected male/female responses in the population

Given the los be alpha = 5%

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