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

18 votes214 views5 answers
Get list with random numbers python
Python
3 votes211 views2 answers
Priting matrix using np truncating the output
Python
1 vote201 views2 answers
Django make new application folder
Python
0 vote234 views1 answer
Dockerfile entrypoint python3
Python
-2 votes209 views2 answers
Cheese puffs
Python
0 vote210 views1 answer
Neural network hyperparameter tuning
Python
57 votes206 views6 answers
Python sum of list
Python
0 vote218 views1 answer
Make widget span window width tkinter
Python
12 votes230 views3 answers
Matplotlib legend
Python
0 vote237 views1 answer
Chi square test contingency table python
Python