The different types of hypothesis testing are as follows:
- T-test: T-test is used when the standard deviation is unknown and the sample size is comparatively small.
- Chi-Square Test for Independence: These tests are used to find out the significance of the association between categorical variables in the population sample.
- Analysis of Variance (ANOVA): This kind of hypothesis testing is used to analyze differences between the means in various groups. This test is often used similarly to a T-test but, is used for more than two groups.
- Welch’s T-test: This test is used to find out the test for equality of means between two population samples.