**Mean** and **median** are similar concepts that help identify the average value of a sample and provide insight into the overall data.

### Are there differences between these two measures?

Consider an example that compares the **mean** and **median** salaries of IT specialists, with a focus on the last individual who has the highest salary.

### Conclusion

The **mean** value is more susceptible to extremely small or high values than the **median**. Therefore, when dealing with the values in a sequence that aren't similar, it is better to use the **median**. In our example, the **mean** value is twice as high as the **median**, making the **median** a more accurate representation.

Select lists where there is a significant difference between the mean and median values.

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.

Learning Statistics with Python

Mean or Median

Are there differences between these two measures?

Conclusion