Output Table Schema
| Column | Data Type | Description |
|---|---|---|
| sum_of_squares (between groups) | DOUBLE | The sum of squares (variation) between groups. |
| sum_of_squares (within groups) | DOUBLE | The sum of squares (variation) within groups. |
| Df (between groups) | INTEGER | The degrees of freedom corresponding to the between groups sum of squares. |
| Df (within groups) | INTEGER | The degrees of freedom corresponding to the within group sum of squares. |
| mean_square (between groups) | DOUBLE | The mean of sum of squares, which is calculated by dividing the sum of squares (between groups) by the degrees of freedom (between groups). |
| mean_square (within groups) | DOUBLE | The mean of sum of squares, which is calculated by dividing the sum of squares (within groups) by the degrees of freedom (within groups). |
| F_statistic | DOUBLE | The F-statistic is calculated as the ratio of between group sum of squares/(k-1) and within group sum of squares/(N-k+1). The null hypothesis is rejected when F-statistic is greater than the critical value of F. |
| alpha | DOUBLE | The level of significance of the test. |
| critical_f | DOUBLE | The critical value of F denoted by (k-1, N-k) where:
|
| p_value | DOUBLE | The probability value associated with the F-statistic value. The null hypothesis is rejected when p_value is less than alpha. |
| conclusion | VARCHAR | The result of the test based on if the null hypothesis is rejected or not. |