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In R, the t.test() function is used to perform a t-test, which compares the means of two independent groups (samples) to determine if there is a statistically significant difference between them. The t.test() function is versatile and can perform both one-sample and two-sample t-tests. It also provides useful outputs, such as p-values and confidence intervals, to evaluate hypothesis tests for means. Why Other Options Are Wrong : B) anova() : ANOVA is used for comparing the means of more than two groups, not two independent samples. C) lm() : The lm() function is used for linear modeling (regression), not hypothesis testing of means. D) cor.test() : This function is used to test the correlation between two variables, not for comparing sample means. E) chisq.test() : The Chi-squared test is used for categorical data and tests the relationship between observed and expected frequencies, not for comparing means.
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