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According to a blood test, a patient has a blood iron value of 125 μg/dL.This value means that
Type II Error
A statistical error that occurs when failing to reject a false null hypothesis; also known as a false negative.
α
The significance level in hypothesis testing, typically representing the probability of committing a Type I error.
Type II Error
The error that occurs when the null hypothesis is not rejected when it is actually false, also known as a "false negative".
Sample Size
The number of observations or units chosen from a population for the purpose of statistical analysis.
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