Single-Factor ANOVA: Analysis, Assumptions, and Application
Classified in Mathematics
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Single-Factor ANOVA is used to determine whether three or more populations have equal means.
ANOVA Assumptions:
- The population values are normally distributed.
- The variances for each population are equal.
- The samples are independent.
- The data measurement is interval or ratio level.
ANOVA is an analysis of variance. It needs to have equal variance in order to test the means.
Single-Factor ANOVA: analysis of variance design in which independent samples are obtained from two or more levels of a single factor for the purpose of testing whether the levels have equal means.
Type of data used in ANOVA: ratio or interval data (numbers).
H0: all means are equal.
H1: there is a difference in means.
Theory: Practicality.
In Multifactor ANOVA:
- Groups: rows (router