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when do you use a t-test as opposed to a z-test
z-test
pop SD known
t-test
pop SD not known
sample mean and sample SD known
assumptions for t-test
DV measures interval/ratio
pop. of raw scores forms normal distribution
pop mean is known, pop SD not known
steps to performing t-test
calculate SEM
calculate t-obt
calculate df
compare t-obt to t-crit
reject/retain null
calculate effect size
calculate confidence interval
degrees of freedom
n-1
number scores free to vary in sample
higher df = more normal distribution
smaller df, t-crit>z-crit for same area
distribution for t-test
family of t-distributions
when to reject null
t-obt>t-crit
cohen’s d
describes size of difference between means expressed in SD units
small effect size
0.2
medium effect size
0.5
large effect size
0.8
eta squared
proportion of variability in DV that’s accounted for by IV
confidence interval
highest mean diff and lowest mean diff we expect for pop mean and sample mean