The screening process for detecting a rare disease is not perfect. Researchers have developed a blood test that is considered fairly reliable. It gives a positive reaction in 94.6% of the people who have that disease. However, it erroneously gives a positive reaction in 4.1% of the people who do not have the disease. Consider the null hypothesis "the individual does not have the disease" to answer the following questions. a. What is the probability of a Type I error? (Round your answer to 3 decimal places.) b. What is the probability of a Type II error? (Round your answer to 3 decimal places.)
Added by Eugene G.
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A Type I error occurs when the null hypothesis is true, but is rejected. In this case, the null hypothesis is "the individual does not have the disease". So, a Type I error would occur if the test gives a positive result (indicating the person has the disease) Show more…
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