Doing a t-test using R programming (in 4 minutes)

If you are doing statistics or any quantitative analysis using R programming then at some point you'll need to do a t-test. T tests are statistical tests used to compare the mean of two samples. The null hypothesis is usually that the mean (or average) is the same in both groups. Once you've done the test, the p value will give you a sense of whether or not the difference observed is statistically significant. The alpha value is determined ahead of time to define the level of significance required. This is sometimes called the students t-test. You can do paired t-tests or unpaired t tests. This channel is supported by Nested Knowledge - an online platform that supports the entire literature review process. Please do check them out at this link: https://my.nested-knowledge.com/r-pro...