HW2 Q1 (generating a binomial distribution)
Hi All,
Here is the code I wrote for hw2_q1: from random import randint import seaborn as sns import numpy as np N = 100000 v_first = np.zeros(N) v_min = np.zeros(N) v_rand = np.zeros(N) #Loop starts for i in range(N): n,p = 10, 0.5 flips = np.random.binomial(n, p, 1000) first_coin = 0 min_coin = np.argmin(flips) rand_coin = np.random.randint(0,1000) v_first[i] = flips[first_coin] v_min[i] = flips[min_coin] v_rand[i] = flips[rand_coin] #Loop ends print np.average(v_min) My answer turns out to be 0.367, while the correct answer is 0.01. Could someone please point out where I am going wrong? 
Re: HW2 Q1 (generating a binomial distribution)
Quote:

All times are GMT 7. The time now is 10:58 PM. 
Powered by vBulletin® Version 3.8.3
Copyright ©2000  2020, Jelsoft Enterprises Ltd.
The contents of this forum are to be used ONLY by readers of the Learning From Data book by Yaser S. AbuMostafa, Malik MagdonIsmail, and HsuanTien Lin, and participants in the Learning From Data MOOC by Yaser S. AbuMostafa. No part of these contents is to be communicated or made accessible to ANY other person or entity.