please type solutions in python

Question

Baljit · Accepted Answer

1.  
Code:-
import  numpy  as  np
import  matplotlib.pyplot  as  pt
number=[1,5,10,20]
means=[]
for j in number:
    np.random.seed(1)
    X=[np.mean(np.random.uniform(0,1,j) ) for i in range(10000)]
    means.append(X)
a=0
sbpt,axis=pt.subplots(2,2,figsize=(10,10))
for i in range(0,2):
    for j in range(0,2):
        axis[i,j].hist(means[a],10,density=True)
        axis[i,j].set_title(label=number[a])
        a+=1
pt.show()
Justification:-Now according to central limit theorem mean of samples drawn distributed population have  normal distribution.Now we can see from the Histogram.Means of samples are normally distributed.

please type solutions in python

Solution

Answer To This Question Is Available To Download

Related Questions & Answers

Submit New Assignment