In R, there are several types of t-tests that can be used for hypothesis testing. The most common types include the one-sample t-test, which is used to compare the mean of a single group to a known value; the independent samples t-test, which is used to compare the means of two independent groups; and the paired samples t-test, which is used to compare the means of two related groups. These t-tests are essential tools for conducting statistical analysis and making inferences about population parameters based on sample data.

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