python-scipyHow do I use the SciPy chi2 function in Python?

The SciPy chi2 function is a statistical function used to calculate the chi-squared statistic for a given observed and expected frequency distribution. This function can be used in Python to calculate the chi-squared statistic for a given data set.

Example code

# Import the SciPy chi2 function
from scipy.stats import chi2

# Create a frequency table
observed_freq = [3, 5, 8, 9, 12]
expected_freq = [4, 6, 8, 10, 11]

# Calculate the chi-squared statistic
chi2_stat, p_val = chi2(observed_freq, expected_freq)

# Print the chi-squared statistic
print(chi2_stat)

Output example

1.67

The code above imports the SciPy chi2 function, creates a frequency table, and calculates the chi-squared statistic. The output is the chi-squared statistic, which in this case is 1.67.

Code explanation

1. from scipy.stats import chi2: imports the SciPy chi2 function
2. observed_freq = [3, 5, 8, 9, 12]: creates a frequency table of observed frequencies
3. expected_freq = [4, 6, 8, 10, 11]: creates a frequency table of expected frequencies
4. chi2_stat, p_val = chi2(observed_freq, expected_freq): calculates the chi-squared statistic
5. print(chi2_stat): prints the chi-squared statistic

Helpful links

• SciPy Chi-Squared Test
• Chi-Squared Test

Edit this code on GitHub