8.6: Introduction to Hypothesis Testing

Concepts in Statistics · LibreTexts

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    What you’ll learn to do: Given a claim about a population, construct an appropriate set of hypotheses to test and properly interpret p values and Type I / II errors.

    Hypothesis testing matrices. If we reject H null and H null is false, when we have correctly rejected the null hypothesis. If we reject H null and H null is tue, we have made a Type I error. If we accept H null and H null is trie, we have correct accepted the null hypothesis. If we accept H null and H null is false, we have made a Type II error.Hypothesis testing is part of inference. Given a claim about a population, we will learn to determine the null and alternative hypotheses. We will recognize the logic behind a hypothesis test and how it relates to the P-value as well as recognizing type I and type II errors. These are powerful tools in exploring and understanding data in real-life.

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