You can use TTEST or T.TEST to perform this function. The value returned by T.TEST when tails is set to 2 is double that returned when tails is set to 1 and corresponds to the probability of a higher absolute value of the t-statistic under the "same population means" assumption.
A statistic based on the distribution is used to test the two-sided hypothesis that the true. If tails is set to 1, T.TEST returns the probability of a higher value of the t-statistic under the assumption that range1 and range2 are samples from populations with the same mean. Hypothesis Testing In R With Examples & Interpretations. T.TEST uses the data in range1 and range2 to compute a non-negative test. Range1 and range2 must have the same number of data points. If 3: a two-sample unequal variance (heteroscedastic) test is performed. If 2: a two-sample equal variance (homoscedastic) test is performed. Tails - Specifies the number of distribution tails. Range2 - The second sample of data or group of cells to consider for the t-test. Range1 - The first sample of data or group of cells to consider for the t-test. Why only right tail For Multiple regression calculator with the. So getting a T-statistic greater than or equal to 2.999. Determines whether two samples are likely to have come from the same two underlying populations that have the same mean. The right-tailed F test checks if the entire regression model is statistically significant. And for this situation where our alternative hypothesis is that our true population regression slope is greater than zero, our P-value can be viewed as the probability of getting a T-statistic greater than or equal to this. Returns the probability associated with t-test.