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11.9: Chapter Formula Review
https://stats.libretexts.org/Courses/Fresno_City_College/Book%3A_Business_Statistics_Customized_(OpenStax)/11%3A_The_Chi-Square_Distribution/11.09%3A_Chapter_Formula_Review
The test statistic is $\frac{(n-1) s^{2}}{\sigma_{0}^{2}}$ , where $n$ = sample size, $s^2$ = sample variance, and $\sigma^2$ = population variance. The number of degrees of freedom is equal to...The test statistic is $\frac{(n-1) s^{2}}{\sigma_{0}^{2}}$ , where $n$ = sample size, $s^2$ = sample variance, and $\sigma^2$ = population variance. The number of degrees of freedom is equal to (number of columns - 1)(number of rows - 1). The test statistic is $\sum_{i \cdot j} \frac{(O-E)^{2}}{E}$ where $O$ = observed values, $E$ = expected values, $i$ = the number of rows in the table, and $j$ = the number of columns in the table.
11.10: Chapter Formula Review
https://stats.libretexts.org/Courses/Fresno_City_College/Introduction_to_Business_Statistics_-_OER_-_Spring_2023/11%3A_The_Chi-Square_Distribution/11.10%3A_Chapter_Formula_Review
The test statistic is $\frac{(n-1) s^{2}}{\sigma_{0}^{2}}$ , where $n$ = sample size, $s^2$ = sample variance, and $\sigma^2$ = population variance. The number of degrees of freedom is equal to...The test statistic is $\frac{(n-1) s^{2}}{\sigma_{0}^{2}}$ , where $n$ = sample size, $s^2$ = sample variance, and $\sigma^2$ = population variance. The number of degrees of freedom is equal to (number of columns - 1)(number of rows - 1). The test statistic is $\sum_{i \cdot j} \frac{(O-E)^{2}}{E}$ where $O$ = observed values, $E$ = expected values, $i$ = the number of rows in the table, and $j$ = the number of columns in the table.

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