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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