What is Statistical Significance Test how to perform T test in Scipy

Recipe Objective - What is Statistical Significance Test, how to perform T test in Scipy?

Statistical Significance Test:

Statistical Significance means every result has some reasons behind it, it's not randomly created.

Scipy provides "scipy.stats" module to perform such tasks.

Techniques:

1.Hypothesis in Statistics

2.Null Hypothesis

3.Alternate Hypothesis

4.One tailed test

5.Two tailed test

T-Test:

The T-test is a two-tailed test. It is used to determine the significant difference between the two variables.

SciPy provides "ttest_ind()" function to perform t-test.

Example:- Find the given values p1 and p2 are from same distribution:

import numpy as np
from scipy.stats import ttest_ind

p1 = np.random.normal(size=150)
p2 = np.random.normal(size=150)

rslt = ttest_ind(p1, p2)

print(rslt)

# p-value
rslt1 = ttest_ind(p1, p2).pvalue

print(rslt1)