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In R, the t.test() function is used to perform a t-test, which is a statistical test for comparing the means of two groups. The function can be used for both independent and paired samples. When performing a t-test for independent samples, t.test() tests whether the means of two groups are significantly different from each other. It is one of the most commonly used functions in R for hypothesis testing related to the comparison of means. Why Other Options Are Incorrect: • B: lm() is used for fitting linear models in R. It is not used for hypothesis testing of means. • C: aov() is used for performing Analysis of Variance (ANOVA), which is used to compare means across more than two groups, not two independent samples. • D: cor.test() is used for testing the correlation between two variables, not for comparing their means. • E: boxplot() is used for visualizing the distribution of data across different groups, not for hypothesis testing of means.
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