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Hypothesis Testing in R

Intermediate
4.1+
34 reviews
Updated 12/2024
Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.
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RProbability & Statistics4 hours16 videos53 exercises4,000 XP24,293Statement of Accomplishment

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Course Description

Discover Hypothesis Testing in R

Hypothesis testing lets you ask questions about your datasets and answer them in a statistically rigorous way. In this course, you'll learn how and when to use common tests like t-tests, proportion tests, and chi-square tests.

You'll gain a deep understanding of how they work and the assumptions that underlie them. 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 sidestep the requirements of traditional hypothesis tests.

Learn About T-Tests and Chi-Square Tests

You’ll start by learning why hypothesis testing in R is useful while examining some key concepts as you go. You’ll also learn how t-tests can help you test for differences in means between two groups and how chi-square tests can help you compare observed results with expected results.

Understand the Relationships Between R Hypothesis Tests

As you progress, you’ll discover the relationships between different tests, exploring elements of randomness, independence of observation, and sample sizes.

By the time you finish this course, you’ll have a deeper understanding of hypothesis testing in R and when it’s appropriate to use specific tests on your data.

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

Prerequisites

Sampling in R
1

Introduction to Hypothesis Testing

Start Chapter
2

Two-Sample and ANOVA Tests

Start Chapter
3

Proportion Tests

Start Chapter
4

Non-Parametric Tests

Start Chapter
Hypothesis Testing in R
Course
Complete

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Don’t just take our word for it

*4.1
from 34 reviews
53%
21%
21%
3%
3%
  • David C.
    about 1 year

    It's a great course but I struggle to remember the theory despite multiple watches

  • James K.
    over 1 year

    Very practical presentation, covering the essential ideas and content stripped to bare minimum without compromising on coverage.

  • Deyanira L.
    over 1 year

    Excellent

  • Nicolas F.
    over 1 year

    Very helpful course that explains the basics of hypothesis testing providing a foundation of completing these research tasks in R. Thank you!

  • Valentino M.
    almost 2 years

    Very intuitive, organized, and user-friendly

"It's a great course but I struggle to remember the theory despite multiple watches"

David C.

"Very practical presentation, covering the essential ideas and content stripped to bare minimum without compromising on coverage."

James K.

"Excellent"

Deyanira L.

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