You have been given a function which generates values from a normal distribution. Make a variable that stores all values greater than 2. This is in python.
import matplotlib.pyplot as plt
import numpy as np
mu, sigma = 2.5, 0.1
def normal():
val = np.random.normal(mu, sigma, 1)
return val[0]
nor=[]
for i in range(100):
x=normal()
if x>2:
nor.append(x)
else:
continue
print(nor)
no=np.random.normal(mu, sigma, 100)
# Creating bins and histogram
count, bins, ignored = plt.hist(nor, 50, density=True)
# Plot distribution curve
plt.plot(bins, 1/(sigma * np.sqrt(2 * np.pi)) *
np.exp( - (bins - mu)**2 / (2 * sigma**2)
),linewidth=3, color='y')
plt.show()
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