One-Sample vs Two-Sample t-Tests Explained | Step-by-Step Guide with Examples

One-Sample vs Two-Sample t-Tests Explained | Step-by-Step Guide with Examples

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One-Sample vs Two-Sample t-Tests Explained | Step-by-Step Guide with Examples
In this comprehensive tutorial, we break down the one-sample t-test and two-sample t-test in statistics, showing you exactly how to use these tests for comparing sample means. Whether you're a student or a professional, mastering t-tests is essential for hypothesis testing in statistical analysis. In this video, you'll learn how to: -Conduct a one-sample t-test to compare a sample mean to a known value -Perform a two-sample t-test to compare means between two independent groups -Understand when to use one-tailed vs. two-tailed tests Calculate t-statistics from given parameters We’ll guide you through real-world examples to sharpen your skills. In the video linked here (https://youtu.be/EdCIzBJQp7M), you'll learn the calculator shortcut for both raw data and parameters of interest, as well as how to use the p-value as a second method to form a conclusion.