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# Python program to conduct two-sample
# T-test using pingouin library
# Importing library
from statsmodels.stats.weightstats import ttest_ind
import numpy as np
import pingouin as pg
# Creating data groups
data_group1 = np.array([160, 150, 160, 156.12, 163.24,
160.56, 168.56, 174.12,
167.123, 165.12])
data_group2 = np.array([157.97, 146, 140.2, 170.15,
167.34, 176.123, 162.35, 159.123,
169.43, 148.123])
# Conducting two-sample ttest
result = pg.ttest(data_group1,
data_group2,
correction=True)
# Print the result
print(result)
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# Python program to demonstrate how to
# perform two sample T-test
# Import the library
import scipy.stats as stats
# Creating data groups
data_group1 = np.array([14, 15, 15, 16, 13, 8, 14,
17, 16, 14, 19, 20, 21, 15,
15, 16, 16, 13, 14, 12])
data_group2 = np.array([15, 17, 14, 17, 14, 8, 12,
19, 19, 14, 17, 22, 24, 16,
13, 16, 13, 18, 15, 13])
# Perform the two sample t-test with equal variances
stats.ttest_ind(a=data_group1, b=data_group2, equal_var=True)