61% 2:13 Lab Assignment... Saved on device 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) Femal Mal Total Response е е 23 48 Not at all 25 Somewha 22 13 35 26 16 42 Very 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 II

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61%
2:13
Lab Assignment...
Saved on device
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)
Femal
Mal
Total
Response
е
е
23
48
Not at all
25
Somewha
22
13
35
26
16
42
Very
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
II
Transcribed Image Text:61% 2:13 Lab Assignment... Saved on device 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) Femal Mal Total Response е е 23 48 Not at all 25 Somewha 22 13 35 26 16 42 Very 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 II
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