A repeated-measures study compares three treatments with a sample of n = 12 subj

Question

A repeated-measures study compares three treatments with a sample of n = 12 subjects. For the analysis of variance, df_error = 33. In a two-factor ANOVA. MS_between treatments = MS_A + MS_A times B. For a two-factor analysis of variance, the significance of any specific F-ratio is completely independent of the significance of the other F-ratios. A chi-square test for independence produces a chi-square statistic with df = 2. The data for this research study form a matrix with four separate categories.

Explanation / Answer

6. yes , if three treatments with sample n = 12 subjects than dFerror = (12-1) * 3 = 33 so statement is TRUE.

7. IN a two factor ANOVA

MSbeweenTreatments = MSA+ MSB + MSAxB

no, there is no such relationship exists between Mean square errors so statement is false.

8. This statement is TRUE, any specific F- ratio is calculated by taking other variables constant so any specific F- ratio is completely independent of other F- ratios.

9. If there are four separate categories then df would be equal to 4-1 =3 not 2 so statement is False.

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