PBSI Final Test Questions and Answers Already Passed Latest Update

PBSI Final Test Questions and Answers Already Passed Latest Update What is a factorial ANOVA used for ? - Answers multiple factor experiments ( 2 or more independent variables ) The number of numbers in the factorial design = - Answers the number of factors ( independent variables ) Value of numbers in factorial design = - Answers the number of levels for each factor How to find the number of conditions - Answers multiply the numbers in the factorial notation Two types of outcomes in factorial designs - Answers main effects and interactions Main effect ( factorial design) - Answers The overall effect of a single factor ( ignoring the other factors ) There are as many _____ as there are ____ - Answers main effects , factors interactions (factorial designs) - Answers When the effect of one factor depends on the level of another factor How to calculate Interactions ? - Answers calculate differences within rows/columns How to calculate Main effect ? - Answers computer row and column means and combine How to find main effect on graphs ? - Answers - One like higher than the other - One side of graph is higher than the other How to find Interactions on graph? - Answers If lines are not parallel Interaction is almost always more interesting then what we should interpret - Answers True Reporting results for Factorial Analysis - Answers - report conclusion for each effect - write up statistic for significant effects - Only interpret significant effects and report their means What do Correlations ask ? - Answers how do changes in the value of one variable relate to the values of another variable ( r) When do we use correlations ? - Answers when we want to look at relationships between variables and not split people into groups What does the correlation coefficient measure? - Answers direction and strength if r = 0 then there is ... - Answers no relationship if r = -1 or 1 then - Answers it's a perfect relationship Strength of the coefficient tells us - Answers how strong the relationship is while testing correlations, we can use p values to - Answers tell us if a correlation between two variables is significant Degrees of freedom for correlation - Answers N - 2 Reporting r for correlations - Answers if significant, add a statement about nature of relationship and vice versa r is both an ... - Answers obtained value and measure of effect size for correlation, as the cv gets .... the sample size gets .... - Answers smaller, bigger coefficient of determination (r^2) - Answers represents how much variation 2 variables share ( in percentages ) Even strong relationships can have a lot of variance left over - Answers True Why does Correlation not equal causality - Answers - reverse causation