This chapter provides an overview of statistical methods used in data analysis and covers techniques for deriving meaningful insights from data. We will first look at some basic statistical techniques used to gain a better understanding of data before moving on to more advanced methods that are used to compute statistics on vectorized data instead of simple scalar data.
This chapter also covers the various techniques for generating random numbers. Random numbers play a significant part in data analysis because they help us work with sample data in much smaller datasets. A good random sample selection ensures that smaller datasets can act as a good representative of the much bigger dataset.
We will also gain an understanding of hypothesis testing and look at some Scala tools readily available to make this task easier.
The following are...