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Lernen Probability Mass Function (PMF) 1/2 | Probability Functions
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Probability Mass Function (PMF) 1/2

What is it? The function calculates the probability that a discrete random variable equals the exact value. Example:

Calculate the probability that we will have success with the fair coin (the chance of getting head or tail is 50%) in 4 out of 15 trials. We assume that success means getting a head.

Python realization:

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# Import required library import scipy.stats as stats # The desired number of success trial x = 4 # The number of attempts n = 15 # The probability of getting a success p = 0.5 # The resulting probability probability = stats.binom.pmf(x, n, p) print("The probability is", probability * 100, "%")
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Probability Mass Function (PMF) 1/2

What is it? The function calculates the probability that a discrete random variable equals the exact value. Example:

Calculate the probability that we will have success with the fair coin (the chance of getting head or tail is 50%) in 4 out of 15 trials. We assume that success means getting a head.

Python realization:

1234567891011121314
# Import required library import scipy.stats as stats # The desired number of success trial x = 4 # The number of attempts n = 15 # The probability of getting a success p = 0.5 # The resulting probability probability = stats.binom.pmf(x, n, p) print("The probability is", probability * 100, "%")
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

Awesome!

Completion rate improved to 3.7

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