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, "%")
Thanks for your feedback!
single
Ask AI
Ask AI
Ask anything or try one of the suggested questions to begin our chat
Awesome!
Completion rate improved to 3.7
Probability Mass Function (PMF) 1/2
Swipe to show menu
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, "%")
Thanks for your feedback!
Awesome!
Completion rate improved to 3.7single