The purpose of a Chi-squared test is to accept or reject a null hypothesis.
The Chi-squared equals the sum of the observed minus the expected; squared and then divided by the expected.
The Null Hypothesis- There is no significant difference between the observed and the expected frequencies.
We take the possibilities minus one to find the degrees of freedom.
Critical Values- the number that determines if we accept or reject the null hypothesis. If the number is > than the critical value; reject.
If the number is < or = to the critical value; accept.
*Critical values don't have to be a whole number.
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