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The t-test formula is used to compare the mean of two groups of samples and determine if they belong to the same population. Understand the t-test Formula with Derivation, Examples, and FAQs. A T-test is a statistical method of comparing the means or proportions of two samples gathered from either the same group or different categories. It is aimed at hypothesis testing, which is used to test a hypothesis pertaining to a given population. It is the difference between population means and a hypothesized value. One-sample, two-sample, paired, equal, and unequal variance are the types of T -tests users can use for mean comparisons. The t - test is used to compare the averages of two groups to see if they are significantly different from each other. Suppose you want to compare the test scores of two groups of students: Group 1: 30 students who studied with Method A. Group 2: 30 students who studied with Method B. We use a t - test to check if there is a significant difference in the average test scores between the two. T test The t - test is part of Hypothesis testing where we start with an assumption the null hypothesis that ... The t - test is used to determine if there is a significant difference between the means of two groups. one-tailed t - test , two-tailed t - test .
