# Stats Ch9 Definitions

 .remove_background_ad { border: 1px solid #555555; padding: .75em; margin: .75em; background-color: #e7e7e7; } .rmbg_image { max-height: 80px; } T/F Standard error determines how much difference is reasonable to expect between pop mean and sample mean T Sample Variance formula s2= SS/(n-1) = SS/df sample standard deviation formula s=square root of SS/(n-1) estimated standard error formula (used for t scores) Sm = square root of s2/n t score formula t=M-m/Sm T/F the greater the favlue of df for a sample, the better s2 represents o2; the better the t statistic approximates the z score. t T/F t distribution has the same shape as z F: t is flatter and more variable than Z. Larger the df, the more closely T resembles Z Cohen's D formula/estimated D formula Cohen's D= mean difference/standard deviation (M-m/s) r2 is the measure of effect size. Formula? r2=t2/(t2+df) Authormangoboba ID42773 Card SetStats Ch9 Definitions Descriptionch9 definitions Updated2010-10-17T19:22:27Z Show Answers