Used to compare mean of 1 population/sample to a hypothesized value
Null hypothesis states that population/sample mean is equal to hypothesized value
[Analyze-> Distribution, select TEST MEAN]
Two sample t-test
Used to compare means of 2 populations/samples with each other. Continuous variable (Y) v/s 2-level single categorical variable/factor (X)
Null hypothesis states that means of the 2 populations/samples are equal to each other
[Analyze -> Fit Y by X, select MEANS/ANOVA/POOLED-T or T-TEST]
One Way Anova
Used to compare means of 3 or more populations/samples. Continuous variable (Y) v/s single categorical variable with 3 or more levels (X)
Null hypothesis states that means of all populations/samples/levels are equal to each other.
[Analyze -> Fit Y by X, select MEANS/ANOVA + COMPARE MEANS]
Two Way (Factorial) ANOVA
Used to study effects of 2 categorical variables/factors and their interaction on single response. Continuous variable (Y) v/s two categorical variables (X1, X2)
Null hypothesis states that factors do not have a significant effect
[Analyze -> Fit Model, select LS MEANS PLOT]
