1. a. When interpreting individuals' scores on some measure why are standardized scores potentially beneficial compared...

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1. a. When interpreting individuals' scores on some measure why are standardized scores potentially beneficial compared to absolute raw scores? Why are z-scores also useful when computing and interpreting the covariance between two variables? b. Is the following quotation correct? Why or why not? "When we conduct a t-test of group differences or a one-way ANOVA, we are concerned about the size of the SS within relative to the size of the SS between - rather than the absolute magnitude of within group variability". Also, when we perform a 1-way ANOVA is it fair to say we are testing the null hypothesis that Eta Squared = 0 in the population? Why or why not? 1. a. When interpreting individuals' scores on some measure why are standardized scores potentially beneficial compared to absolute raw scores? Why are z-scores also useful when computing and interpreting the covariance between two variables? b. Is the following quotation correct? Why or why not? "When we conduct a t-test of group differences or a one-way ANOVA, we are concerned about the size of the SS within relative to the size of the SS between - rather than the absolute magnitude of within group variability". Also, when we perform a 1-way ANOVA is it fair to say we are testing the null hypothesis that Eta Squared = 0 in the population? Why or why not?