Why is there just one critical value for a chi-square test, even when the hypoth
ID: 3396984 • Letter: W
Question
Why is there just one critical value for a chi-square test, even when the hypothesis is a two-tailed test?
The critical value is listed as a positive value, but like critical t values, it can be positive or negative.
Similar to ANOVA, chi-square tests are based on variance values, which must always be positive.
Chi-square calculations involve squared values and counts, so the test statistic must be a positive value.
For chi-square tests the research must specify directionality before computing the test statistic.
a.The critical value is listed as a positive value, but like critical t values, it can be positive or negative.
b.Similar to ANOVA, chi-square tests are based on variance values, which must always be positive.
c.Chi-square calculations involve squared values and counts, so the test statistic must be a positive value.
d.For chi-square tests the research must specify directionality before computing the test statistic.
Explanation / Answer
Variance is always positive and chi square test is based on variance so it is always positive. And also the distribtuion of chi square is not symmetric like t and z distribution.
So option (b) is correct.
Related Questions
drjack9650@gmail.com
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.