t test and hypothesis test is same or not in r proggraming
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t-test: Comparing Group Means
One of the most common tests in statistics, the t-test, is used to determine whether the means of two groups are equal to each other. The assumption for the test is that both groups are sampled from normal distributions with equal variances. The null hypothesis is that the two means are equal, and the alternative is that they are not. It is known that under the null hypothesis, we can calculate a t-statistic that will follow a t-distribution with
n
1
+
n
2
−
2
degrees of freedom. There is also a widely used modification of the t-test, known as Welch’s t-test that adjusts the number of degrees of freedom when the variances are thought not to be equal to each other. This tutorial covers the basics of performing t-tests in R.