Tutorial 23- Analysis Of variance(Anova Test) Statistical Analysis Part 2- Krish Naik Hindi
Автор: Krish Naik Hindi
Загружено: 2024-01-17
Просмотров: 54209
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Analysis of variance (ANOVA) is an analysis tool used in statistics that splits an observed aggregate variability found inside a data set into two parts: systematic factors and random factors. The systematic factors have a statistical influence on the given data set, while the random factors do not. Analysts use the ANOVA test to determine the influence that independent variables have on the dependent variable in a regression study.
One-Way ANOVA ("analysis of variance") compares the means of two or more independent groups in order to determine whether there is statistical evidence that the associated population means are significantly different. One-Way ANOVA is a parametric test.
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