RESEARCH · METHODS · EVIDENCE
Compare several means with ANOVA
Browse statistics lessons
- Statistics for research
- Center and spread
- Distributions and standard errors
- Statistical inference
- P-values and interpretation
- Critical values and test direction
- Compare means with t-tests
- Read t-test output
- Compare several means with ANOVA
- Read an ANOVA table
- Analyze categorical counts
- Read chi-square output
- Describe an association
- Read correlation results
- Interpret a regression model
- Choose a statistical method
- Statistics resources
A one-way ANOVA evaluates whether group population means are all equal under its model. A significant omnibus test does not identify which groups differ.
Check independence, residual behavior, and variance assumptions. The ordinary equal-variance model may be inappropriate for heterogeneous groups. Plan justified contrasts or follow-up comparisons and account for multiplicity.
References: NIST one-way ANOVA