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, "%")
Merci pour vos commentaires !
single
Demandez à l'IA
Demandez à l'IA
Posez n'importe quelle question ou essayez l'une des questions suggérées pour commencer notre discussion
Résumer ce chapitre
Expliquer le code dans file
Expliquer pourquoi file ne résout pas la tâche
Awesome!
Completion rate improved to 3.7Probability Mass Function (PMF) 1/2
Glissez pour afficher le 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, "%")
Passez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessousMerci pour vos commentaires !
Awesome!
Completion rate improved to 3.7single
