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In Week 4, you'll learn all about how to calculate one-sample statistics in R. You will begin the week by learning how to calculate confidence and prediction intervals on the mean, variance, and binomial proportion. Then, you will learn how to perform hypothesis tests on the mean, variance, and a binomial proportion. You will also learn how to calculate the power and probability of a type II error in R, which is related to sample size considerations, which you will also explore. Week 4 has 10 screencasts with many in-video questions to test your understanding of the material and help you learn. I encourage you to download and make use of the Week 4 Cheat Sheet (for those who purchase a Course Certificate) as this will help distill the challenging concepts and R functions that are found in this week's material. Week 4 concludes with Assignment 4, which you will complete in the R programming language in a Jupyter notebook and that counts towards your final grade in the course. When you are ready, you must pass the Week 4 Graded Quiz in order to access the Week 5 Starter Files and Cheat Sheet. You will need access to these items in order to complete Module 5. Quiz 4 requires you to perform statistical calculations in R, so be sure to prepare accordingly.