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Doing a t-test using R programming in 4 minutes
If you are involved in statistics or any quantitative analysis using R programming, you will likely need to conduct a t-test at some point. T-tests are statistical tests used to compare the means of two samples. The null hypothesis typically states that the means (or averages) are the same in both groups. After performing the test, the p-value will help you determine whether the observed difference is statistically significant. The alpha value, set in advance, defines the level of significance required. This test is sometimes referred to as the Student's t-test. You can perform either paired t-tests or unpaired t-tests, depending on your data.
