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P-Value
Sample Size’s affect on P-Value
Effect Size’s affect on P-Value
P-Values relation to Hypothesis Testing
Directional Hypothesis
A hypothesis that has predicted increases or decreases.
Non-Directional Hypothesis
A hypothesis that only predicts a change, but not if that change is a increase or decrease.
Null Hypothesis
The opposite of whatever the researcher predicts.
Example: there will be no change in weight and ice cream consumption
H0: μ1 = μ2
Alternative Hypothesis
Type I Error
Type II Error
Type I & II Error’s relation to Alpha
How to minimize Type I & II errors
Z-Test Formula
Z-Test
Single Sample T-Test
Repeated/Paired T-Test
One Tailed T-Test
Two Talied T-Test
Independent T-Test
P-Values in T-Tests
Effect Size in T-Tests
One Sample T-Test
Two Sample T-Test
r²
Cohen’s d
Effect Size & Statistical Power
Statistical Power
ANOVA
ANCOVA
Covariate
Independent Variable
Planned Comparison
Post-Hoc
Systematic Variability
Unsystematic Variablility
Sum of Squares
Mean Squares
MSbetween
MSwithin
MStotal
F-Ratio
Homogeneity of Variance
Normality Assumption
