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Lernen Random Variable | Learn Crucial Terms
Probability Theory Update

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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.

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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)
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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)
copy

Switch to desktopWechseln Sie zum Desktop, um in der realen Welt zu übenFahren Sie dort fort, wo Sie sind, indem Sie eine der folgenden Optionen verwenden
War alles klar?

Wie können wir es verbessern?

Danke für Ihr Feedback!

close

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Completion rate improved to 3.7

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