Distributions of Data
In this chapter, we will cover the essential aspects of data and distributions. We will start by covering the types of data and distributions of data. Having covered the essential measurements of distributions, we will describe the normal distribution and its important properties, including the central limit theorem. Finally, we will cover resampling methods such as permutations and transformation methods such as log transformations. This chapter covers the foundational knowledge necessary to begin statistical modeling.
In this chapter, we’re going to cover the following main topics:
- Understanding data types
- Measuring and describing distributions
- The normal distribution and the central limit theorem
- Bootstrapping
- Permutations
- Transformations
