What is true about the chi-square test of independence?
a. Chi-square test of independence results are important calculations in most studies.
b. In a relatively small sample size, the chi-square test of independence can reduce the chance of a Type II error.
c. The chi-square test of independence is a powerful test used to examine differences in studies with two subjects.
d. The chi-square test of independence is used to determine whether two variables are related or independent.
Question 2
A researcher correlates self-confidence measures with obesity rates and determines an r value of 0.8. What can the reviewer conclude when evaluating this research?
a. There is a 36 chance that variation in one score is the result of variation in the other score
b. There is a 64 chance that variation in one score is the result of variation in the other score
c. There is a 64 chance that variation in one score is the result of variation in something other than the other score
d. There is a weak correlation between these two variables
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