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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)

Vaihda työpöytään todellista harjoitusta vartenJatka siitä, missä olet käyttämällä jotakin alla olevista vaihtoehdoista

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Kiitos palautteestasi!

Osio 3. Luku 1

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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)

Vaihda työpöytään todellista harjoitusta vartenJatka siitä, missä olet käyttämällä jotakin alla olevista vaihtoehdoista

Oliko kaikki selvää?

Kiitos palautteestasi!

Osio 3. Luku 1

Vaihda työpöytään todellista harjoitusta vartenJatka siitä, missä olet käyttämällä jotakin alla olevista vaihtoehdoista