What are the assumptions of the chi-square test?
An example of an AI chatbot conversation about the assumptions of the chi-square test.
What are the assumptions of the chi-square test?
The chi-square test has several key assumptions: 1) The data should be categorical, 2) The observations should be independent, 3) The expected frequency in each category should be at least 5.
Can you explain why the expected frequency needs to be at least 5?
Certainly! The assumption of having an expected frequency of at least 5 ensures that the chi-square approximation to the distribution is valid, which helps in obtaining reliable results.
What happens if the expected frequency is less than 5?
If the expected frequency is less than 5, the chi-square test may not be valid, and you might consider using Fisher's exact test or combining categories to meet the assumption.
Are there any other tests I can use instead of the chi-square test?
Yes, alternatives include Fisher's exact test for small sample sizes and the likelihood ratio test, depending on your data.
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