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 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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