Chi-squared tests

Learn how to apply the chi-squared test to determine if observed data follows an expected pattern.


  • Learn to determine the statistical significance of observing a set of categorical values.
  • Learn to generate and work with the chi-squared distribution.
  • Learn the basics of Degrees of Freedom.

Mission Outline

1. Observed and expected frequencies
2. Calculating differences
3. Updating the formula
4. Generating a distribution
5. Statistical significance
6. Smaller samples
7. Sampling distribution equality
8. Degrees of freedom
9. Increasing degrees of freedom
10. Using SciPy
11. Next steps
12. Takeaways

Course Info:

Probability and Statistics in Python: Intermediate


The average completion time for this course is 10-hours.

This course requires a Basic subscription. It includes one free mission, five premium missions, and one guided project. This course is 17th course in the Data Analyst in Python path and Data Scientist in Python path


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