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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.
(18% of 360) ÷ 0.4 = ?
3(2/5) + 6(1/3) + 3(2/5) + 11(2/3) =?
15% of 695 – 12.5% of 250 =? – 1200
The value of ((0.27)2-(0.13)2) / (0.27 + 0.13) is:
20 ×33 + 12 × 23 - 40 ÷ 15-1 + ? = 50
The value of [(3√2+2) × (3√2-2)] of 13 + 15 is:
Find the value of x.
√441 ÷ 21+ √400 = 1 × x
2850 ÷ 2.5 - ? × 42 = 300