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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Seção 4. Capítulo 2

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, "%")

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Tudo estava claro?

Seção 4. Capítulo 2

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, "%")

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

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, "%")

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Seção 4. Capítulo 2

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo