How to perform Chi-Squared test using SciPy?

Let’s check how to perform Chi-Squared test using SciPy Python library.
python scipy chi squared test

Chi-square calculations

We’ll demonstrate how to conduct a chi-squared test for a given set of observed frequencies using the SciPy library. We’ll calculate the chi-squared test using the SciPy library, as it provides the built-in chisquare function for this purpose.

The chisquare function returns a p-value. Setting a significance level of 5% helps us determine if the observed deviations from expected frequencies are statistically significant.

from scipy import stats

numbers = [45, 67, 33, 54, 33]

chi = stats.chisquare(numbers)

print(f"pvalue equals {round(chi.pvalue, 4)}")
if chi.pvalue < 0.05:
    print("Hypothesis can be rejected")
else:
    print("Hypothesis is valid")