Cumulative Distribution Function (CDF) 1/2

What is it?

This function calculates the probability that the random variable X will take the value less than or equal to x. Example:

Calculate the probability that we will have success with the fair coin (the chance of getting head or tail is 50%) in at least 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.cdf(x, n, p)

print("The probability is", probability * 100, "%")

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Sektion 4. Kapitel 4

Cumulative Distribution Function (CDF) 1/2

What is it?

This function calculates the probability that the random variable X will take the value less than or equal to x. Example:

Calculate the probability that we will have success with the fair coin (the chance of getting head or tail is 50%) in at least 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.cdf(x, n, p)

print("The probability is", probability * 100, "%")

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 4. Kapitel 4

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