Suppose Ho: p 1/3 and Ha: p not equal to 1/3. You reject Ho. What type of error could you have made here? Either a Type 1 error or a Type 2 error, they are equally likely. Туре 1 error You could not have made any errors with your conclusion based on your data. Type 2 error

Suppose Ho: p 1/3 and Ha: p not equal to 1/3. You reject Ho. What type of error could you have made here? Either a Type 1 error or a Type 2 error, they are equally likely. Туре 1 error You could not have made any errors with your conclusion based on your data. Type 2 error

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Description: Suppose Ho: p = 1/3 and Ha: p not equal to 1/3. You reject Ho. What type of error could you have madehere?Either a Type 1 error or a Type 2 error, they are equally likely.Туре 1 errorYou could not have made any errors with your conclusion based on y

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter10: Sequences, Series, And Probability

Section: Chapter Questions

Problem 27T

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Suppose next that we have even less knowledge of our patient, and we are only given the accuracy of the blood test and prevalence of the disease in our population. We are told that the blood test is 95 percent reliable, this means that the test will yield an accurate positive result in 95% of the cases where the disease is actually present. Gestational diabetes affects 5+1 percent of the population in our patient’s age group, and that our test has a false positive rate of 5+4 percent. Use your knowledge of Bayes’ Theorem and Conditional Probabilities to compute the following quantities based on the information given only in part 2: What is the probability of having the disease given that you tested negative? Comment on what you observe in the above computations. How does the prevalence of the disease affect whether the test can be trusted?
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