The Independent Samples T-Test: A Crash Course

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A quick course in statistics that will help you succeed on your next test.

461 students enrolled

What Will I Learn?

- Goal: You will learn how to conduct an independent samples t test.
- Student Learning Outcome #1: You’ll be able understand all the symbols in the independent samples t test formula.
- Student Learning Outcome #2: You’ll be able to compute an independent samples t test.

Requirements

- A knowledge of basic algebra
- A calculator if you prefer not to do computations in your head. You don’t need anything fancy; the one on your computer will do. You simply need one that adds, subtracts, squares, and square roots.
- Paper and writing utensils

Description

Need a speedy explanation of what an independent samples t-test is and how to calculate it by hand? This is the course for you! At the end of this course you'll be able to calculate the independent samples t test from raw data with ease. Master the independent samples t-test quickly and easily in this self-paced course.

**Overview:**

- Learn how to solve an independent t test quickly and easily.
- Improve your problem solving abilities.
- Engage with peers who are also learning about an independent samples t test.

You'll have a half hour worth of lectures, six activities to help you learn, and five quizzes (with full explanations of answers) to help you assess your knowledge. Lectures build upon one another starting with basic terminology and then working through progressively harder problem sets. You'll be able to use discussion boards to swap flashcard resources with peers and download crash course resources to help you organize your hand calculations. This course is efficient and only focuses on the materials you need in order to hand calculate the independent samples t-test. A t-test helps you compare whether two groups have different average values; now let this course help you improve your test score averages! With 45 minutes of content in this self-paced course you'll be well prepared to tackle your next statistics test.

Who is the target audience?

- Statistics and research methods students
- People who want to understand the calculations behind an independent samples t test

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