In this chapter, we have briefly examined what statistical distributions are and why they are important when doing statistical inference. After a short introduction to descriptive statistics (mean and standard deviation), we have discovered how to obtain covariance and correlation coefficients programmatically. In the next chapter, we will discuss regression analysis in R.
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