Statistical test

It's a statistical method used to compare three or more groups to see if there are any significant differences between their means (averages). Tells you if something is different, but not which one.

ANOVA

removes the effect of another variable that might be influencing the results.

ANCOVA

It’s used when you're studying two or more independent variables (factors) at the same time to see how they affect a result. Factor 1: Diet type (Low-carb, Low-fat) Factor 2: Exercise type (Cardio, Strength training).

Factorial Analysis of Variance

Instead of looking at one outcome, it looks at multiple outcomes at the same time. Imagine you’re testing the effect of a teaching method on students. You measure:

• Test scores

• Motivation levels

• Class attendance

These are your multiple dependent variables (outcomes)

Multivariate analysis of variance (MANOVA)

A way to compare two groups to see if their averages (means) are significantly different. Let’s say you’re testing a new study method. You have two groups of students:

• Group A: Used the old method

• Group B: Used the new method

After the test, you compare their scores.

T test

A way to see if there's a relationship between two categorical variables. Let’s say you want to know if gender (male/female) is related to ice cream flavor preference (chocolate/vanilla/strawberry).

Chi-square test