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Chapter 10

Analysis of Variance

ANOVA란 무엇인가요?
ANOVA란 무엇인가요?
The Analysis of Variance or ANOVA is a statistical test developed by Ronald Fisher in 1918. It is performed on three or more samples to check for equality ...
일원 분산 분석(One-Way ANOVA)
일원 분산 분석(One-Way ANOVA)
One-way ANOVA analyzes more than three samples categorized by one factor. For example, it can compare the average mileage of sports bikes. Here, the data ...
일원 분산 분석: 동일한 표본 크기
일원 분산 분석: 동일한 표본 크기
One-Way ANOVA can be performed on three or more samples with equal or unequal sample sizes. When one-way ANOVA is performed on two datasets with samples ...
일원 분산 분석: 같지 않은 표본 크기
일원 분산 분석: 같지 않은 표본 크기
One-way ANOVA can be performed on three or more samples of unequal sizes. However, calculations get complicated when sample sizes are not always the same. ...
다중 비교 테스트
다중 비교 테스트
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT ...
Bonferroni 테스트
Bonferroni 테스트
The Bonferroni test is a statistical test named after Carlo Emilio Bonferroni, an Italian mathematician best known for Bonferroni inequalities. This ...
양방향 분산 분석(Two-Way ANOVA)
양방향 분산 분석(Two-Way ANOVA)
The two-way ANOVA is an extension of the one-way ANOVA. It is a statistical test performed on three or more samples categorized by two factors - a row ...
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