1. Identify variables that are tested for Main effects – Are they statistically

Question

1. Identify variables that are tested for Main effects – Are they statistically significant? If so, at what alpha level?

2. Identify variables that are tested for Interactions – Are they statistically significant? If so at what level?

Between-Subjects Factors Value Label Drug #1 Drug #2 Placebo Treatment 1 40 40 40 Pain_Score 0 20 Tests of Between-Subjects Effects Dependent Variable: Severity Type Ill Sum of Squares df Mean Square Sig Source Corrected Model Intercept Treatment Pain Score Treatment* Pain_Score Error Tota Corrected Total a. R Squared.125 (Adjusted R Squared.021) 3.742a 126.244 350 1.466 2.035 26.258 300.000 30.000 17 627 855 126.244490.402 680 633 1.317 .220 175 163 339 257 509 767 256 102 120 119

Explanation / Answer

Solution: 1. Identify variables that are tested for Main effects – Are they statistically significant? If so, at what alpha level?

Answer: Treatment and Pain_Score are two variables tested for Main effects. Both these variables statistically insignificant because P-values are very high for both these variables. P-value is 0.509 for Treatment variable and P-value is 0.767 for Pain_Score.

2. Identify variables that are tested for Interactions – Are they statistically significant? If so at what level?

Answer: Treatment * Pain_Score is the variable tested for interaction. This variable is also statistically insignificant because the P-value is 0.256, which is pretty high and would be considered insignificant.

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