Summary  
The chapter demonstrates how to implement code to calculate the mean by summing and dividing numerical values, and the median by sorting a list and selecting the central element(s), then printing these statistical metrics.

General domain of usage  
Payroll and compensation analysis.

This course gives you a basic knowledge of statistics. It is intended for students with basic knowledge of Python syntax as they will be working with NumPy and pandas modules. During the course, you will become familiar with the basic concepts and then gradually move on to more complex concepts and tasks.

This section will help us deal with the first real statistical case: finding confidence intervals. It requires knowledge of NumPy, pandas, Matplotlib, and Seaborn library to calculate math formulas and build visualization! To encourage you to pass this section, I want to point out that you will run across a small amount of theory but a significant amount of practice!

An inseparable part of a data analyst's life is conducting hypothesis testing. After completing this section, you will understand the idea behind testing in statistics and will be able to conduct a t-test using Python.

Calculate the Mean and Median Salary

Solution

Awesome!

Calculate the Mean and Median Salary

Solution