Home › AP Statistics › Statistics › The Chi-Square Distribution › The test of independence and the test for homoge…
The test of independence and the test for homogeneity differ in whether the question concerns:
AMeans or the medians
BSamples or censuses
CThe rows or columns
DOne population or two
Answer & Solution
Correct answer: D. One population or two
1. Both tests use the same statistic but answer different questions.
2. The test of independence asks whether two variables are related.
3. The test for homogeneity can be used to draw a conclusion about whether two populations have the same distribution.
4. So the number of populations involved is what separates them.
_Source: OpenStax Introductory Statistics 2e (CC BY 4.0), Ch 11 'The Chi-Square Distribution', sections 11.1-11.5_
Related questions
Comparing all three chi-square tests, the one that involves only a single categorical variPutting observed values in one list and expected values in another is the setup for:The chi-square test is right-tailed because the statistic can only be:A chi-square statistic near zero would indicate that the data:The chi-square distribution can be used to find relationships between:The number of degrees of freedom for a chi-square test depends on:The expected values in a chi-square test are the values you would see if:A very large chi-square statistic falls where on the chi-square curve?