A hypothesis-testing technique used to compare means
from three or more possible population
ANOVA One-way analysis of Variance)
ANOVA’s test how much the sample means differ from the___ mean
overall
ANOVAS also compare how much individual scores differ from their own __ ___
Sample means
If you have more ___group variability,
Between
Variability due to the manipulated variable + variability due to error
Between-groups variability
The error between and within groups should be___ if there’s no confounds
similar
If the IV has no effect between groups the variability due to it will be close to
Zero
Assumptions of the One-Way ANOVA
1) Samples are independent of each other
2) Each sample comes from a normal population
3) Each population has the same variance
If the F-value is close to one it is ___ the IV caused an effect
Unlikely
The higher the F value the __ chance there is an effect
Greater
F test statistic formula
F+ Mean Square between/MSwithin
Degrees of Freedom for F-test
dfN=k-1
dfD=N-k
K= #ofgroups
N=total sample size
What its called when you re-run an experiment a lot of time and you get a false positive
Familywise Error Rate
What does t represent in degrees of freedom for a repeated measures Anova?
treatment conditions
Hypothesis for a repeated measure ANOVA
At least 2 means differ from eachother
Equality of variance b/w levels
sphericity
How to check for sphericity
Mauchly’s test of sphericity
Statistical test for data that we are treating as categorical
Chi-Square (x2)
What does the chi-square test count?
How many times something falls in each category
A type of experiment where each trial only has 2 possibly outcomes
Binomial or dichotomous
A categorical experiment with a fixed # of trials where there are more than 2 possible outcomes for each independent trial
Multinomial experiment
