Hypothesis testing is based on two fundamental principles of statistics, namely, normalization and standard normalization:
- Normalization: The concept of normalization differs with respect to the context. To understand the concept of normalization easily, it is the process of adjusting values measured on different scales to common scales before performing descriptive statistics, and it is denoted by the following equation:
- Standard normalization: Standard normalization is similar to normalization except it has a mean of 0 and a standard deviation of 1. Standard normalization is denoted by the following equation: ...