13. Hypothesis Testing Overview

In this video, we explore the essential concepts of hypothesis testing, a statistical method used to draw conclusions about populations based on sample data.

We'll discuss the formulation of null and alternative hypotheses, the significance level, and the critical steps in hypothesis testing, including the selection of appropriate statistical tests.

You'll learn about parametric tests, like the Z-test and t-tests, which assume a normal distribution, as well as non-parametric tests that are used when these assumptions are not met.

We'll also cover how to calculate test statistics and p-values, understand Type I and Type II errors, and interpret results in context.

By the end of this video, you’ll have a solid understanding of how hypothesis testing, including the use of Z-scores, is applied across various fields, from medicine to social sciences.

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