Summary

In this chapter, we learned how to perform Student’s t-test in Python and interpret the magnitude of mean difference. This is a very important segment of implementing and interpreting central tendency in biostatistics. We also learned to perform the Wilcoxon rank test in Python and interpret the magnitude of mean difference as another approach to mean difference analysis.

Then, we learned how to perform a chi-squared test in analyses of associations among multiple categorical variables in Python.

Finally, we learned how to analyze multiple groups in Python, as group-level analysis is one of the most common approaches to statistical analysis in biostatistics. In the next chapter, you will learn about predictive biostatistics using Python and how to implement different functions from packages, such as statsmodels and scikit-learn, to create different predictive models.