Question: 1. Define p-value. Describe how a lower p-value affects our satisfaction with the null hypothesis. 2.Define alpha level. Describe how the alpha-level is used to

1. Define p-value. Describe how a lower p-value affects our satisfaction with the null hypothesis.

2.Define alpha level. Describe how the alpha-level is used to make a judgment about the null hypothesis.

3.Compare and contrast the p-value with the alpha-level.

4.Describe the testingull distribution.

5.Describe how inferential statistics are compared to critical values in testingull distributions to determine their p-values.

6.Given "Sig" values from SPSS, determine if the following predictors are statistically significant or not.

1. Define p-value. Describe how a lower p-value

Tests of Between-Subjects Effects Dependent Variable:WinPercent TyPe Il Sum Partial Eta Source Squares Mean Square Squared Corrected Model A41 45,085 Intercept 108.950 108.950 | 34870.274 League .018 .018 5.812 Location .395 .395 126.363 League * Location .010 .010 3.079 Error 875 .003 Total 110.248 Corrected Total 1.297 a. R Squared = .326 (Adjusted R Squared = .318)

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