Hypothesis Testing in R

Offered By
Coursera Project Network
In this Guided Project, you will:

Understand the basic concepts of hypothesis testing

Perform different hypothesis tests for one and two samples

Clock2 hours
IntermediateIntermediate
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

Welcome to this project-based course Hypothesis Testing in R. In this project, you will learn how to perform extensive hypothesis tests for one and two samples in R. By the end of this 2-hour long project, you will understand the rationale behind performing hypothesis testing. Also, you will learn how to perform hypothesis tests for proportions and means. By extension, you will learn how to perform a hypothesis test for means of matched or paired samples in R. Note, you do not need to be a statistical analyst or data scientist to be successful in this guided project, just a familiarity with basic statistics and using R suffice for this project. If you are not familiar with R and want to learn the basics, start with my previous guided project titled “Getting Started with R”, and "Calculating Descriptive Statistics in R". A fundamental prerequisite is having a good understanding of the theory of hypothesis test.

Skills you will develop

Null HypothesisDecision-MakingAlternative HypothesisStatistical Hypothesis TestingStudent'S T-Test

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Getting Started

  2. Test for proportions

  3. Test for means

  4. Two sample test for proportions

  5. Two sample test for means

  6. Matched samples

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.