Hypothesis test

This section is all about hypothesis testing in R. This testing is merely an assumption made by the researcher about the population of data collected in relation to any experiment. As a first step, we will introduce the statistical hypothesis in R and later, we will cover the decision error in R, the one-and two-sample t-test, the u-test, correlation and covariance in R, and so on.

t-test in R

This is also referred to as the 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 a parametric test, and the data should be distributed normally.

R can handle the various versions of the t-test...