import numpy as np
#import scipy.stats as stats
import seaborn as sns
from numpy import random

# set the random seed:
np.random.seed(1234556)

# set sample size:
n=11

min = 0
max = 1

# initialize sampling dist. to an array of length r=10000 to later store results:
r = 1000
sample_dist = np.empty(r)

# repeat r times:
for j in range(1,r):
    # draw a sample and store the sample mean in pos. j=0,1,... of sample_dist:
    sample = random.uniform(0,1,size=n)
    sample_dist[j] = np.mean(sample)

mean = np.mean(sample_dist)
variance = np.var(sample_dist)

print("Mean of sampling distribution from Unifrom(0,1) is :", mean)
print("Variance of sampling distribution from Uniform(0,1)is :", variance)

sns.histplot(data=sample_dist, x=None, kde=True).set(title='Histogram of Sampling_dist of n=11')