### Exhibit 13-12- **SSTR (Sum of Squares for Treatment)**: 736- **SSE (Sum of Squares for Error)**: 900- **Total Sample Size (\(n_T\))**: 18#### Hypotheses- **Null Hypothesis (\(H_0\))**: \(\mu_1 = \mu_2 = \mu_3\)- **Alternative Hypothesis (\(H_a\))**: At least one mean is different---**Question:**Refer to Exhibit 13-12. The mean square within treatments (MSE) equals _____.**Options:**- 736- 60- 900- 2,250**Explanation:**Mean Square Error (MSE) is calculated by dividing the Sum of Squares for Error (SSE) by the degrees of freedom for error. The degrees of freedom for error is usually the total number of observations minus the number of groups. In this case, with 18 total observations and assuming 3 groups, the MSE can be calculated to determine the correct option.

Answered: Refer to Exhibit 13-12. The mean square…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Refer to Exhibit 13-12. The mean square within treatments (MSE) equals 736 60 900 2,250