Describes the paired t-test formula, which is used to compare the means of two related groups or samples. Describes the independent t-test formula, which is used to compare the means of two independent groups. You will learn the Student t-test formula and the Weltch t-test formula. Describes the one sample t-test formula, which is used to compare the mean of one sample to a known standard mean. Describes the t-test formula for one-sample, two-independent samples and paired samples t-test. Describes how to compute the pairwise T-test in R between groups with corrections for multiple testing. The pairwise t-test consists of calculating multiple t-test between all possible combinations of groups. You will learn how to: 1) Calculate pairwise t-test for unpaired and paired groups; 2) Display the p-values on a boxplot. Describes the paired t-test, which is used to compare the mean of two related groups of samples. You will learn the formula, assumptions, calculation, visualization, effect size measure using the Cohen's d, interpretation and reporting in R. Describes the Welch t-test, which is used to compare the mean of two independent groups. You will learn the formula, assumptions, calculation, visualization, effect size measure using the Cohen's d, interpretation and reporting in R. Describes the Student's t-test, which is used to compare the mean of two independent groups. You will learn the formula, assumptions, calculation, visualization, effect size measure using the Cohen's d, interpretation and reporting in R. Describes the unpaired t-test, which is used to compare the mean of two independent groups. You will learn the formula, assumptions, calculation, visualization, effect size measure using the Cohen's d, interpretation and reporting in R. The Student's t-test and the Welch t-test are described. Describes the one-sample t-test, which is used to compare the mean of one sample to a known standard (or theoretical / hypothetical) mean. You will learn the formula, assumptions, calculation, visualization, effect size measure using the Cohen's d, interpretation and reporting in R.