In a two-way ANOVA, the interpretations of the main effects make sense only when the interaction component is not significant. * Your answer
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- The parameter v for the q-curve in a Tukey multiple comparison in a two-way ANOVA equals one of the degrees of freedom in the two-way ANOVA table. Which one?The parameter v for the q-curve in a Tukey multiple comparison equals one of the degrees of freedom for the F-curve in a one-way ANOVA. Which one?A researcher is studying whether average GPA is dependent on whether the students are in a 2-year college, public university, or private university. The researcher should use a 1-way ANOVA for this study. True or false
- In a two-way ANOVA, the main effect of a factor is the A. extent to which the factor produces dependent variable scores different from those the other factor produced. B. effect that changing the levels of the factor has on the dependent variable, taking into account all other factors in the study. C. effect that changing the levels of the factor has on the dependent variable, ignoring all other factors in the study. D. extent to which its effect depends on the other factor.If there is an overall significant F in a one way ANOVA, can we conclude that the group membership or treatment variable caused the observed differences in the group means? Why or Why not?In ANOVA, what will be the conclusion when the means of the between groups vary from within groups? a.Accept the null hypothesis b.Reject the null hypothesis c.Conduct main effects d.Conduct interaction effects
- If the test statistic falls within the rejection region, you reject H0 in favour of HatruefalseIn our ANOVA calculation, we want our within-group variation to be higher than the between-group variation. True or False?Suppose that you have bivariate data for an entire population. a. How would you decide whether an association exists between the two variables under consideration? b. Assuming that you make no calculation mistakes, could your conclusion be in error? Explain your answer.
- Suppose that you have bivariate data for a sample of a population. a. How would you decide whether an association exists between the two variables under consideration? b. Assuming that you make no calculation mistakes, could your conclusion be in error? Explain your answer.In a one-way ANOVA, in theory, when the null hypothesis is true, MSWithin should be __________ MSBetween. 1. different than 2. equal to 3.larger than 4. smaller thanSelect a significance level α and reject the null-hypothesis if the p-value is less than α. Explain, in complete sentences, your findings: Is there a statistically significant association (at α level) between the provided genes? What is the magnitude and the direction of the association?