It seems that now you have a better understanding of the probability definition. So, let's move to the very first example with coins. We can calculate that the probability of tossing a coin once and getting a head is 50 %. 

Scientifically it is called **Bernoulli trial**.

**What is it?**

It is a random experiment with only two outcomes: failure or success. Therefore, we can express an opinion that tossing a coin is a Bernoulli trial too.

It's time to dive deeper into the probability theory. Here we will learn basic formulas. The main idea of the section is to help us to understand the term probability using real-life examples. 

Here, we will get acquainted with the rules in probability theory. This section will be more complicated than the previous one. It will be attractive because we are going to work with the real challenges. But it should be noted that we learn some formulas.

Doing experiments is always funny, but here we will combine exciting tasks with programming learning. In this section, we will work with the binom object to conduct experiments in Python.

Distribution is a key to probability learning, but don't be petrified by this term. This section provides you with real-life explanations and relevant formulas. 

The normal distribution is the most commonly used one. Here we will work with the distribution with the help of real-life challenges.

Choose examples of Bernoulli trial:

Select a few correct answers