In this chapter, we have explained many important issues related to statistics, such as T-distribution, F-distribution, T-tests, F-tests, and other hypothesis tests. We have also discussed linear regression, how to deal with missing data, how to treat outliers, collinearity and its treatments, and how to run a multi-variable linear regression.
In Chapter 6, Managing Packages, we will discuss the importance of managing package; how to find out about all packages available for R, Python, and Julia; and how to find the manual for each package. In addition, we will discuss the issue of package dependency and how to make our programming a little easier when dealing with packages.
