Random Variable

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.


              1234567891011
            
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)

Skift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder

Var alt klart?

Tak for dine kommentarer!

Sektion 3. Kapitel 1

Random Variable

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.


              1234567891011
            
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)

Skift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder

Var alt klart?

Tak for dine kommentarer!

Sektion 3. Kapitel 1

Skift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder