Np confidence interval

import numpy as np
import scipy.stats


def mean_confidence_interval(data, confidence=0.95):
    a = 1.0 * np.array(data)
    n = len(a)
    m, se = np.mean(a), scipy.stats.sem(a)
    h = se * scipy.stats.t.ppf((1 + confidence) / 2., n-1)
    return m, m-h, m+h

Source: stackoverflow.com

Similar codes

17 votes152 views4 answers
Python if else
Python
1 vote150 views1 answer
Pywhatkit
Python
0 vote158 views1 answer
Discord py how to ban everyone
Python
1 vote187 views2 answers
Explode multiple columns pandas
Python
0 vote170 views1 answer
Lose your django secret key
Python
8 votes151 views3 answers
Np.arange in python
Python
5 votes156 views1 answer
How to make a python app for android
Python
24 votes157 views2 answers
Python bs4 install
Python
43 votes169 views3 answers
Python system arguments
Python
0 vote205 views1 answer
How to display printed values without scientific notation python
Python