Inferential stats stuff

Type I Error means

the null hypothesis is true but you rejected it

Type II Error means

The null hypothesis is false but you retained it

α is the probability of making a type what error?

Type I

β is the probability of making a type what error?

Type II

D

difference between the scores

S_D̄

standard error of the mean difference

ŝ_D

standard deviation of the different scores

s_x̅1-x̅2

standard error of the difference between two means

small effect

d=.20

medium effect

d=.50

large effect

d=.80

power is

the probability of rejecting a false null hypothesis

x̅_GM

grand mean (mean of all scores)

N_tot

total number of scores in a data set

K

number of groups/IV levels

t

group number

x̅_t

mean of the t^th group

N_t

number of scores in each group

MS

mean squared deviation

MS is the same as

ŝ²

SS

sum of the squared deviations

s_x̅

standard error of the mean