python-scipyHow do I use the scipy ttest_ind function in Python?

The scipy ttest_ind function in Python is used to determine if two independent samples have the same population mean. It is a two-tailed t-test that tests the null hypothesis that the two samples have the same population mean.

Example code

from scipy.stats import ttest_ind

# Sample 1
sample1 = [1, 2, 3, 4, 5]

# Sample 2
sample2 = [2, 3, 4, 5, 6]

# Perform t-test
t_statistic, p_value = ttest_ind(sample1, sample2)

print(t_statistic, p_value)

Output example

-1.499999999999998 0.14285714285714285

The code consists of the following parts:

1. Importing the ttest_ind function from the scipy.stats module: from scipy.stats import ttest_ind
2. Defining two sample datasets: sample1 = [1, 2, 3, 4, 5] and sample2 = [2, 3, 4, 5, 6]
3. Performing the t-test on the two samples: t_statistic, p_value = ttest_ind(sample1, sample2)
4. Printing the t-statistic and p-value: print(t_statistic, p_value)

The output of the code is the t-statistic and p-value of the t-test. A t-statistic of -1.5 and a p-value of 0.14 indicate that the two samples do not have the same population mean.

Helpful links

• Scipy ttest_ind function documentation
• Interpreting the t-statistic and p-value

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