4.7 - Best Practices
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What is one assumption that should be verified before conducting a statistical test?
💡 Hint: Think about the distribution of your dataset.
Why is it important to report effect sizes?
💡 Hint: How does effect size compare to p-value?
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary purpose of verifying assumptions in statistical testing?
💡 Hint: Think about what assumptions are necessary for accurate testing.
True or False: Effect sizes are irrelevant to hypothesis testing.
💡 Hint: Consider what additional insights effect sizes provide beyond p-values.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
You conducted three different tests on the same dataset. The p-value for each test was 0.04. Explain how you would apply the Bonferroni correction in this scenario.
💡 Hint: Remember the formula for the Bonferroni correction.
Critically evaluate a scenario in which assuming normality might lead to a potential error in results. What would be a practical approach to handle non-normal data?
💡 Hint: Think about which tests are designed for non-normal conditions.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.