answersLogoWhite

0

The null hypothesis in a chi-square goodness-of-fit test states that the sample of observed frequencies supports the claim about the expected frequencies.

So the bigger the the calculated chi-square value is, the more likely the sample does not conform the expected frequencies, and therefore you would reject the null hypothesis.

So the short answer is, REJECT!

User Avatar

Wiki User

15y ago

What else can I help you with?