T- test | Small Samples | SNS Institutions
Автор: SUNANTHA
Загружено: 2026-01-20
Просмотров: 5
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#snsinstitutions #snsdesignthinkers #designthinking
The F-test is a statistical test used to compare *variances* and to determine whether there is a significant difference between them. It is commonly applied in *analysis of variance (ANOVA)* and in testing the equality of two population variances. The test is based on the **F-distribution**, which is the ratio of two sample variances. The null hypothesis usually states that the variances are equal. The calculated F-value is compared with the critical value at a chosen significance level. If the calculated value exceeds the table value, the null hypothesis is rejected. The F-test is widely used in quality control, experimental analysis, and regression studies.
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