Experiment No 4-0

import numpy as np
import matplotlib.pyplot as plt
data = [1,2,5,6,3,1,1,7,2,2,2,3,1,1,2,8,10,50]
fig = plt.figure(figsize =(5,5))
ax = fig.add_axes([0,0,1,1])
bp = ax.boxplot(data)
plt.show()
mean = np.mean(data)
std = np.std(data)
print("Mean: ", mean)
print("Standard Deviation: ", std)
threshold = 3
outlier = []
for i in data:
    z = (i-mean)/std
    if z > threshold:
        outlier.append(i)
    print(outlier)