Question: When performing inferential statistical analysis in a public health study, what is the main reason for setting an alpha level (e.g., 0.05) before hypothesis testing?

When performing inferential statistical analysis in a public health study, what is the main reason for setting an alpha level (e.g., 0.05) before hypothesis testing? Question 9Answer a. To ensure all findings are statistically significant b. To control the probability of making a Type I error c. To reduce the chance of missing a significant result (Type II error) d. To maximize the sample size requirements

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