Statistical & Hypothesis Tests: Using the One-sample T-test

One-sample T-tests are probably the single most commonly used type of hypothesis test. Through this course learn to manually implement the one-sample T-test to know exactly how the p-value and test statistic are calculated. Youll examine various library implementations of the one-sample T-test and apply the test on data drawn from several different distributions. This course will also help you explore the non-parametric Wilcoxon signed-rank test which is conceptually very similar to the one-sample T-test and helps estimate the median rather than the mean of that population without making assumptions about the population distribution. Upon completion of this course you will be able to use the one-sample T-test as well as its non-parametric equivalent to evaluate both one-sided and two-sided hypotheses about the population mean or median.