Screen Link:
My Code:
import matplotlib.pyplot as plt
import numpy as np
pop_mean = houses['SalePrice'].mean()
means = []
errors = []
x = 5
for i in range(100):
a_mean = (houses['SalePrice'].sample(n=x, random_state=i).mean())
an_error = pop_mean - a_mean
means.append(a_mean)
errors.append(an_error)
x = x + 29
sample_size = np.arange(5,2905,29)
plt.scatter(sample_size, errors)
plt.axhline(0)
plt.axvline(2930)
plt.xlabel('Sample size')
plt.ylabel('Sampling error')
What I expected to happen:
the answer is correct 
What actually happened - I can’t see difference in the plot…
