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

96 votes212 views6 answers
Read json file
Python
0 vote227 views2 answers
Create blog in django
Python Django
2 votes208 views1 answer
Drop column
Python
9 votes206 views6 answers
Pattern program in python
Python
0 vote210 views1 answer
Pyspark lit column
Python
0 vote215 views1 answer
Solve the differential equation xdx + y(x-1)dy=0
Python
4 votes221 views4 answers
Distribution plot python
Python
62 votes196 views3 answers
Python how to loop in a list
Python
23 votes214 views3 answers
Pandas read csv without index
Python
1 vote204 views3 answers
Django logout user
Python