What are the different types of hypothesis tests in R?

In R, there are several types of hypothesis tests that can be conducted to test different research questions. Some of the most common types include t-tests, ANOVA tests, chi-square tests, and correlation tests. T-tests are used to compare the means of two groups, ANOVA tests are used to compare the means of three or more groups, chi-square tests are used to determine if there is a significant association between two categorical variables, and correlation tests are used to assess the relationship between two continuous variables. Each of these tests can provide valuable insights into the data and help researchers draw meaningful conclusions.
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