What can cause the Chi-square test for goodness of fit to be biased?
- Having a large sample size
- Having a small sample size
- Having equal expected frequencies in all categories
- Having normally distributed data
A small sample size can lead to unreliable results in a Chi-square test for goodness of fit. This can be due to the fact that the test requires a sufficient number of observations in each category to provide a reliable estimate of the distribution.
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