A statistical test is a procedure used to make inferences about population parameters based on sample data. It helps determine if there is enough evidence to support or reject a hypothesis.
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Hypothesis Testing: Hypothesis testing involves making assumptions about population parameters and using sample data to evaluate these assumptions.
Type I Error: Type I error occurs when we reject a true null hypothesis, meaning we conclude there is an effect when there isn't one.
Confidence Interval: A confidence interval provides an estimated range of values within which the true population parameter lies with a certain level of confidence.