Mean and median are very similar; **both determine the mean value of the sample and allow us to conclude the sample of numbers at all**.
Are there any differences between the terms?
Look at the example of finding the mean and median of the salaries of IT specialists; look at the last with the highest salary.

## Conclusion
The mean value is **susceptible to extremely small or high values** compared to the median. So, if we know that the values in a sequence aren't similar, it is better to use the median. In our example, the mean value is twice higher as the median; the median looks more truly.

Choose lists where the mean and the median value will differ dramatically.

We will start our way of learning probability theory by considering some basic definitions and rules: what is a stochastic experiment and random event, what is independence and incompatibility of events in the context of probability theory, what is the probability and how can we calculate probabilities of different elementary events. 

In real-life tasks, we often have to deal with complex relationships and, as a result, calculate probabilities of several events or events that depend on each other. Let's consider how we can do this using probability theory.

To solve many real problems in probability theory, special models have been created that describe a particular situation. Let's consider some of the most used models that can be used to describe some discrete results of stochastic experiments.

What if the result of a stochastic experiment cannot be described by a discrete value? For this, models that work with continuous values are used. Consider the most popular of these models.

Often we are faced with the task of checking the dependence of the results of different stochastic experiments on each other. Moreover, it is necessary not only to assess the presence of dependencies but also to somehow quantify the degree of dependencies. To solve these problems, we can use covariance and correlation.

In this section, we will explore fundamental statistical concepts. We will focus on descriptive statistics, including measures of central tendency (such as mean, median, and mode) and measures of dispersion (like standard deviation). These concepts are essential for understanding the inherent characteristics of data.

Probability Theory Basics

Mean or Median?

Conclusion

Choose lists where the mean and the median value will differ dramatically.

Select a few correct answers