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Hypothesis Testing in R

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Hypothesis testing allows for you to ask statistically sound questions about your data. This course will show you how to use commonly used tests like chi-square, proportion and t-tests. These tests will be explained in great detail, and you'll also learn the assumptions behind them. Use the "There's only a test" framework to learn how different hypothesis tests relate. Non-parametric tests can be used to bypass the traditional requirements of hypothesis tests. Throughout the course, you'll be able access a Stack Overflow survey as well as a database of late shipments to medical supplies.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Introduction to Statistics in R

Sampling in R

What You Will Learn

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests

Throughout the course, you'll explore a Stack Overflow user survey, and a dataset of late shipments of medical supplies

You'll also learn how different hypothesis tests are related using the "There is only one test" framework, and use non-parametric tests that let you side-step the requirements of traditional hypothesis tests

You'll gain a deep understanding of how they work, and the assumptions that underlie them

Course Instructors

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Richie Cotton

Curriculum Architect at DataCamp

Richie is a Learning Solutions Architect at DataCamp. He has been using R since 2004, in the fields of proteomics, debt collection, and chemical health and safety. He has released almost 30 R package...
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