Home › AP Statistics › Statistics › The Chi-Square Distribution › The number of degrees of freedom for a chi-squar…
The number of degrees of freedom for a chi-square test depends on:
AThe order of the rows
BHow chi-square is being used
CThe size of the alpha level
DThe colour of the data
Answer & Solution
Correct answer: B. How chi-square is being used
1. Different chi-square tests count degrees of freedom differently.
2. The parameter df is the degrees of freedom.
3. It depends on how chi-square is being used.
4. A goodness-of-fit test and a test of independence therefore use different formulas.
_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 test of independence and the test for homogeneity differ in whether the question conceThe chi-square distribution can be used to find relationships between: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?