Statistical Tests to Assess Randomized Algorithms

You may find the below reading(s) and reading questions useful when preparing for the corresponding lecture. Posts with follow-up questions or confusions to the course’s Ed board are encouraged – before and/or after the lecture.

Readings

• A Practical Guide for Using Statistical Tests to Assess Randomized Algorithms in Software Engineering

Reading questions

1. Define the following two terms:

   • Effect size
   • Censored data

2. What is the difference between statistical and practical significance?

3. What is the difference between parametric and non-parametric tests?

4. Why is statistical analysis particularly important for randomized algorithms?