Idk Flashcards
Factors that effect power
- Sample size
- Actually effect size
- Statistical significance
The main way to increase power is to increase sample size
One sample t test
Limited - don’t know standard
Two sample t test
More common to compare between two groups
Assumptions of a 2 sample t test
Data is normal
Homogeneity of variance
Samples are independent
Scale must be at interval/ratio
T tests
Allow us to compare two groups at a time
Analysis of variance (anova)
Allows us to compare the mean of several groups
-effect if multiple independent variables with 2 or more levels each
Potential types of variance in an anova
Assume that all of the populations have the same variance
Within v. Between
When the null is true, between = variance
When null is not true
Between > within
F ratio
Ratio of between to within is greater than 1
Post hoc comparisons
Attempt to control alpha and maintain it at .05
One sample t test
1 group compared to “known”
Two sample t test
IV has 2 levels (not related)
Paired sample
1 IV, 2 levels (related)
One-way anova
1 IV > 2 levels
