Biostatistical Inference Using Hypothesis Tests and Effect Sizes
Inferring statistical results using hypothesis tests and biological measurements is one of the most important aspects of life science research. This includes using both statistical and biological knowledge to make conclusions on the different biological hypotheses and research questions we make.
Research questions and their answers are vital parts of most life science research projects/studies. In this chapter, we will learn how to use hypothesis tests to test for statistical significance and effect sizes to evaluate magnitudes of effects. These are some of the main tools to answer various research questions statistically.
We’re going to cover the following main topics in the chapter:
- Performing Student’s t-test in Python
- Performing Wilcoxon signed-rank tests in Python
- Performing chi-squared tests in Python
- Analyzing associations among multiple variables – correlations in...
