Scipy check normal distribution

from scipy import stats
pts = 1000
np.random.seed(28041990)
a = np.random.normal(0, 1, size=pts)
b = np.random.normal(2, 1, size=pts)
x = np.concatenate((a, b))

k2, p_value = stats.normaltest(x)

alpha = 1e-3
print("p_value = {:g}".format(p))
# p_value = 3.27207e-11

if p_value < alpha:  # null hypothesis: x comes from a normal distribution
  print("The null hypothesis can be rejected")
else:
  print("The null hypothesis cannot be rejected")
# The null hypothesis can be rejected

Source: docs.scipy.org

Similar codes

2 votes258 views4 answers
Streamlit install
Python
3 votes247 views3 answers
Python resize image keep aspect ratio
Python
0 vote260 views1 answer
Delete rows in a table that are present in another table pandas
Python
4 votes248 views2 answers
Timeout socket python
Python
1 vote228 views1 answer
Acess nvidia from docker compose
Python
15 votes224 views2 answers
Find faculty of a number python
Python
0 vote243 views1 answer
Django model registration
Python Django
0 vote227 views1 answer
How to write in google chrome console in python
Python
4 votes212 views2 answers
How to print a word in different line in python
Python
1 vote235 views1 answer
Lru_cache
Python