**Random event:**

A random event is an event whose outcome can not be predicted. Rolling a die or tossing a coin can be examples.

**Random variable:**

A random variable is a variable whose value is we don't know.

A random variable is used to quantify the output of the random event. We can define a random variable as s capital letter; let it be X in our example.

**Example:**

We were rolling a die two times and received numbers 3 and 5; so, we can say that a random variable is X = 3 + 5 =8.

**Simulating a random variable with Python:**

To simulate an experiment in Python we will use the function from the `NumPy` library: `.choice(values, size = size, replace = True)`
- `values` - a list of possible outcomes of the event.
- `size` - the number of times we repeat the experiment.
- `replace = True` - it can be equal to False, but in this course, we will not change this parameter.

The experiment of rolling a six-sided die five times.

import numpy as np


experiment = np.random.choice(range(1,7), size = 5, replace = True)

random_value = sum(experiment)


print("The outcomes of the experiment are:", experiment)

print("The Random value is equal to:", random_value)

Random Variable