For a given level of significance, increasing the sample size will tend to increase the chi-square critical value used in testing the null hypothesis about a population variance.

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As the sample size increases, the degrees of freedom also increase, which in turn increases the chi-square critical value. This is because a larger sample size provides more information and reduces the likelihood of observing a large sample variance by chance alone.

For a Given Level of Significance, Increasing the Sample Size