Assumptions for ANOVA
- The dependent variable is approximately normally distributed within each group. This assumption is more critical for smaller sample sizes.
- The samples are selected at random and should be independent of one another.
- All groups have equal standard deviations.
- Each data point should belong to one and only one group. There should be no overlap or sharing of data points between groups.
In the case of two-way ANOVA, there are additional assumptions related to the interaction between the independent variables.
- The effect of one independent variable on the dependent variable should be consistent across all levels of the other independent variable.
- Combined effect of two independent variables is equal to the sum of their individual effects.
One-Way ANOVA
ANOVA, or Analysis of Variance, is a statistical method for comparing means among three or more groups, crucial in understanding group differences and relationships in diverse fields. In this article, we’ll focus on One-way ANOVA.
Table of Content
- What is ANOVA?
- Assumptions for ANOVA
- Types of ANOVA
- How to perform One-Way ANOVA?
- One-Way ANOVA Example
- Frequently Asked Questions (FAQs)