Answer each question with \"increases, \" \"decreases, \" \"stays the same, \" o

Question

Answer each question with "increases, " "decreases, " "stays the same, " or "not enough information to answer." "Increase" or "decrease" refers to the numerical value of a variable, not its interpretation as stringent or lenient. Important: Assume that nothing else about the data changes besides the factor(s) listed in the problem. No need to explain or justify your answers (though you should be able to!). A. What happens to F_abc for the row I.V. if the effect of the row I.V. becomes stronger? B. What happens to the p value for the interaction if F_abc for the interaction in a two-way ANOVA decreases? C. What happens to the df for the interaction when one new level (group) is added to each IV? D. What happens to the likelihood of rejecting H_0 for the row IV when the H_0 for the column IV is rejected? E. What happens to SS_RC when SS_T stays the same, SS_R decreases, and SS_c stays the same? F. What happens to SS_RC when SS_T increases, SS_c increases, and SS_RC decreases? G. What happens to F_abc for the row variable if the effect of the column independent variable increases? H. What happens to F_abc for the interaction if S_w^2 increases? I. What happens to the likelihood of rejecting the null hypothesis for any F test when S_w^2 decreases? J. What happens to F_abc for the row variable when S_c^2, increases and S_w^2 increases? K. What happens to F_abc for the column variable when S_c^2 stays the same and S_w^2 decreases? L. What happens to x^2_crit as x^2_abc increases? M. What happens to x^2_abc as the observed frequencies in each cell increase? N. What happens to x^2_abc as the observed frequencies in each cell diverge more and more from the expected counts? O. What happens to x^2_abc when the number of levels of both independent variables increases? P. What happens to x^2_abc when alpha increases in value from .01 to .05? Q. What happens to the p value as x^2_abc increases? R. What happens to the power of an analysis when a Mann-Whitney U test is used instead of an unpaired t test, assuming the assumptions of the t test are met? S. What happens to the probability of rejecting the null hypothesis if the sign test is used instead of the Wilcoxon test? T. What happens to the power of an analysis when a one-way ANOVA is used instead of a Kruskal-Wallis test?

Explanation / Answer

Answer:

A). Increase

B). Increase

C). Increase

D).stays the same

E). Increase

F).Decrease

G). Decrease

H). Decrease

I). Increase

J). Decrease

K). Increase

L).Stays the same

M). Increase

N). Increase

O). Increase

P). Decrease

Q). Decrease

R). Decrease

S). Decrease

T). Increase

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