Advertisement
Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- import random
- import numpy as np
- def probtrials(target, num_psywaves, num_trials):
- successful_trials = 0
- psywave_rolls = np.zeros(num_psywaves)
- for i in range(num_trials):
- for j in range(num_psywaves):
- psywave_rolls[j] = random.randint(50,150)
- average_roll = np.mean(psywave_rolls)
- if average_roll >= target:
- successful_trials += 1
- return successful_trials/num_trials
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement