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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.
After decades of neglect, ASI is finally ……………… with much needed improvement to its research method.
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