For example, if \(F\) follows an \(F\) distribution and the number of degrees of freedom for the numerator is four, and the number of degrees of freedom for the denominator is ten, then \(F \sim F_{4,...For example, if \(F\) follows an \(F\) distribution and the number of degrees of freedom for the numerator is four, and the number of degrees of freedom for the denominator is ten, then \(F \sim F_{4,10}\). As it turns out, \(M S_{between}\) consists of the population variance plus a variance produced from the differences between the samples. \(M S_{within}\) is an estimate of the population variance.
For example, if \(F\) follows an \(F\) distribution and the number of degrees of freedom for the numerator is four, and the number of degrees of freedom for the denominator is ten, then \(F \sim F_{4,...For example, if \(F\) follows an \(F\) distribution and the number of degrees of freedom for the numerator is four, and the number of degrees of freedom for the denominator is ten, then \(F \sim F_{4,10}\). As it turns out, \(M S_{between}\) consists of the population variance plus a variance produced from the differences between the samples. \(M S_{within}\) is an estimate of the population variance.
