In this course, you’ll learn about single and multi-category chi-square tests, degrees of freedom, hypothesis testing, and different statistical distributions.
To learn about hypothesis testing and statistical significance, you’ll work hands-on with multiple datasets on weight loss data — are patients losing weight due to pure luck, or is it a diet pill? You’ll run the numbers and find out!
Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser.
At the end of the course, you’ll complete a guided project that asks you to work with data from the American TV show Jeopardy. You’ll analyze text and search for winning strategies. It’s a chance for you to combine the skills you learned in this course, and to showcase a fascinating project in your portfolio.
- Creating testable hypotheses
- Defining regular and multi-category chi-squared tests
- Performing significance testing to understand an outcome's importance
- Handling probability density functions
Hypothesis Testing in R [5 lessons]
Projects in this course
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