Stats Ch9 Definitions
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T/F Standard error determines how much difference is reasonable to expect between pop mean and sample mean
Sample Variance formula
s2= SS/(n-1) = SS/df
sample standard deviation formula
- square root of SS/(n-1)
estimated standard error formula (used for t scores)
Sm = square root of s2/n
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/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?
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