How do you determine the significance level (alpha) for a hypothesis test?
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he significance level (alpha, α) is typically set based on research context, common practices, and the consequences of errors, often using values like 0.05 or 0.01.
To determine the significance level (alpha) for a hypothesis test, researchers typically consider the context of the study, the potential consequences of making Type I and Type II errors, and standard practices in their field.
The significance level (alpha) in a hypothesis test determines the risk of making a Type I error (rejecting a true null hypothesis). Common choices for alpha are 0.05, 0.01, and 0.001. When choosing alpha, consider the consequences of a Type I error, the desired power of the test, and the field of study.
subtract confidence level from 1