Hypothesis test

This section is all about hypothesis testing in R. This testing is merely an assumption made by the researcher regarding the population of data collected for any experiment. The first step entails an introduction to the statistical hypothesis in R, and later we will cover the decision error in R, which includes one- and two-sample t-tests, u-tests, correlation, and covariance in R.

t-test in R

This is also known as Student's t-test, which is a method for comparing two samples. It can usually be implemented to determine whether the samples are proper or different. This is considered as a parametric test, and the data should be normally distributed. R can handle the various versions of the t-test using the...