Introduction to R: T-Tests (Hypothesis Testing)

Introduction to R: T-Tests (Hypothesis Testing)

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United States DataDaft
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Published on ● Video Link: https://www.youtube.com/watch?v=4eNkmnxFwwQ


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This is lesson 24 of a 30-part introduction to the R programming language for data analysis and predictive modeling. Link to the code notebook below:

Intro to R: Hypothesis Testing
https://www.kaggle.com/hamelg/intro-to-r-part-24-Hypothesis-Testing

This lesson covers statistical hypothesis testing and the t-test. The t-test is a foundational statistical inference test that is the building block of many common data science techniques, such as A/B testing.

This guide does not assume any prior exposure to R, programming or data science. It is intended for beginners with an interest in data science and those who might know other programming languages and would like to learn R.

I will create the videos for this guide such that you should be able to learn a lot just watching on YouTube, but to get the most out of the guide, it is recommended that you create a Kaggle account so that you can fork and edit each lesson so that you can follow along and run code yourself.

Introduction to R Playlist:
https://www.youtube.com/playlist?list=PLiC1doDIe9rDjk9tSOIUZJU4s5NpEyYtE



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