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This document discusses one-way and two-way analysis of variance (ANOVA). It explains that ANOVA can be used to compare the means of two or more groups. The key assumptions that must be met are: samples are random and independent, populations are normally distributed, and populations have equal variances. For one-way ANOVA, the steps involve formulating hypotheses, determining significance level, calculating an F-statistic from the ANOVA table, and making a conclusion. For two-way ANOVA, it is used to under
- Author
- yeong21
- Language
- EN