DLSEI 3.0 Cohort 3 registration has been closed.

Hypothesis Testing in R

Included with DLSEI 3.0

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

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Guided project Level

Recommended experience

2.00 Hours

Learn at your own pace

Data Science

Domain

About this guided project

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.

What skills will you gain?

Statistical Hypothesis Testing

Statistical Methods

Statistical Analysis

Statistical Inference