Suppose the Total Sum of Squares (SST) for a completely randomzied design with [math]

(a) The Treatment Sum of Squares (SSTR) is [math]

The test statistic is[math]

The critical value is [math]

The final conclusion is
** A. ** We can reject the null hypothesis that the mean responses for the treatments are the same and
accept the alternative hypothesis that at least two treatment means differ. ** B. ** There is not sufficient evidence to reject the null hypothesis that the mean responses for the
treatments are the same.

(b) The Treatment Sum of Squares (SSTR) is [math]

The test statistic is [math]

The critical value is [math]

The final conclusion is
** A. ** We can reject the null hypothesis that the mean responses for the treatments are the same and
accept the alternative hypothesis that at least two treatment means differ. ** B. ** There is not sufficient evidence to reject the null hypothesis that the mean responses for the
treatments are the same.

(c) The Treatment Sum of Squares (SSTR) is [math]

The test statistic is[math]

The critical value is [math]

The final conclusion is
** A. ** We can reject the null hypothesis that the mean responses for the treatments are the same and
accept the alternative hypothesis that at least two treatment means differ. ** B. ** There is not sufficient evidence to reject the null hypothesis that the mean responses for the
treatments are the same.

Your overall score for this problem is