The chi-square test tells us: a. Whether there is a relationship or association b. Effect size (how small or large the association is) c. Both a and b d. None of the above 6. The chi-square test requires that the a. Frequencies represent independent counts (not ranks or percentages) b. Categories are mutually exclusive and exhaustive, i.e., that is every subject can be assigned to only one appropriate category c. Data are independent, i.e., repeated measures are not allowed d. All of the above 7. The following is true about the chi-square test: a. It compares observed frequencies with the expected frequencies b. Greater the difference between the observed and the expected frequencies, greater the value of calculated chi-square c. Degrees of freedom = (rows-) x (columns-1) d. All of the above
The chi-square test tells us:
a. Whether there is a relationship or association
b. Effect size (how small or large the association is)
c. Both a and b
d. None of the above
6. The chi-square test requires that the
a. Frequencies represent independent counts (not ranks or percentages)
b. Categories are mutually exclusive and exhaustive, i.e., that is every subject can
be assigned to only one appropriate category
c. Data are independent, i.e., repeated measures are not allowed
d. All of the above
7. The following is true about the chi-square test:
a. It compares observed frequencies with the expected frequencies
b. Greater the difference between the observed and the expected frequencies,
greater the value of calculated chi-square
c. Degrees of freedom = (rows-) x (columns-1)
d. All of the above
5.
The chi-square test is used to find the association between two variables and the impact of variables on each other. Thus, the correct option is C.
The chi-square test tells us:
a. Whether there is a relationship or association
b. Effect size (how small or large the association is)
c. Both a and b
d. None of the above
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