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.
1234567891011import 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)
Grazie per i tuoi commenti!
single
Chieda ad AI
Chieda ad AI
Chieda pure quello che desidera o provi una delle domande suggerite per iniziare la nostra conversazione
Riassuma questo capitolo
Explain code
Explain why doesn't solve task
Awesome!
Completion rate improved to 3.7
Random Variable
Scorri per mostrare il menu
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.
1234567891011import 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)
Grazie per i tuoi commenti!
Awesome!
Completion rate improved to 3.7single