1. Which chi square test would we use to answer the following question: do boys and girls (sampled separately, two separate groups) differ in their favorite color (blue or pink)? a. Goodness of fit b. Test of independence c. Homogeneity d. We would not use a chi square, we would use a t-test e. We would not use a chi square, we would use a correlation 2. Consider the following contingency table of observed values. If employment status and degree attainment are independent of each other, what value would we expect in the 'Unemployed-HS Degree' category? No HS Degree Degree Employed 17 Unemployed 12 29 10 18 28 College Degree 8 22 30 35 52 87 3. Again referring to the contingency table above, conduct a test for independence of the 'employment status' and 'degree attainment' variables. What is the test statistic, and do you accept or reject the null hypothesis of independence? (just write Accept or Reject)

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1. Which chi square test would we use to answer the following question: do boys and girls
(sampled separately, two separate groups) differ in their favorite color (blue or pink)?
a. Goodness of fit
b. Test of independence
c. Homogeneity
d. We would not use a chi square, we would use a t-test
e. We would not use a chi square, we would use a correlation
2. Consider the following contingency table of observed values. If employment status and degree
attainment are independent of each other, what value would we expect in the 'Unemployed-HS
Degree' category?
Employed
No
Degree
17
Unemployed 12
29
HS
Degree
10
18
28
College
Degree
8
22
30
35
52
87
3. Again referring to the contingency table above, conduct a test for independence of the
'employment status' and 'degree attainment' variables. What is the test statistic, and do you
accept or reject the null hypothesis of independence? (just write Accept or Reject)
Transcribed Image Text:1. Which chi square test would we use to answer the following question: do boys and girls (sampled separately, two separate groups) differ in their favorite color (blue or pink)? a. Goodness of fit b. Test of independence c. Homogeneity d. We would not use a chi square, we would use a t-test e. We would not use a chi square, we would use a correlation 2. Consider the following contingency table of observed values. If employment status and degree attainment are independent of each other, what value would we expect in the 'Unemployed-HS Degree' category? Employed No Degree 17 Unemployed 12 29 HS Degree 10 18 28 College Degree 8 22 30 35 52 87 3. Again referring to the contingency table above, conduct a test for independence of the 'employment status' and 'degree attainment' variables. What is the test statistic, and do you accept or reject the null hypothesis of independence? (just write Accept or Reject)
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