finding out tvalue and pvalue

 

import numpy as np

from scipy import stats

a=np.random.normal(25.0, 5.0, 1000000) #mean, std deviation, number of data 

finding out tvalue and pvalue

b=np.random.normal(26.0, 5.0, 1000000) #mean, std variation and number of data

stats.ttest_ind(a,b)

#if tstatisctics value is high, that means, between two datasets, there is no connection in real life.

#negative or positive value of tvalue does not really matter. 

#ques is how fat away the value is from the zero!

#higher Pvalue means, there is a difference between two groups. which means the null hypothesis is wrong. 

#Ttest_indResult(statistic=-141.0857113733187, pvalue=0.0),

#tvalue= 

#pvalue=