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Chapter 3. Probability

Chapter 3. Probability

Chapter 3. Probability

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<strong>Chapter</strong> 3: <strong>Probability</strong> 7524. P(made by Altigauge | not defective)number of non - defective Altigauge electrocardiographsP(Altiguage | not defective) =number of non - defective electrocardiographs7680= 0.8059545=25. HIV. We’ll make a table that displays these results if 1000 subjects were in the study so we can deal with wholenumbers:HIV Present HIV Absent TotalScreening Test Correct 95 855 950Screening Test Incorrect 5 45 50Total 100 900 1000a. P(HIV | tests positive in initial screening)number of HIV with positive test 95 95P ( HIV | positive test) == = = 0.679number of accurate tests 95 + 45 140b. P(tested positive in initial screening | HIV)= 0.950number of HIV with positive test 95P (positive test | HIV) == = 0.950number with HIV 10026. HIVa. P(HIV | tested negative in initial screening)number of HIV with negative test 5P ( HIV | negative test) == = 0.100number of negative tests 50b. P(tested negative in initial screening | HIV)=number of HIV with negative test 5 5P ( negative test | HIV) == = = 0.0058number with negative test 855 + 5 8603-6. Risks and OddsHeadaches and Viagra. In Exercises 1 – 9, use the data in the accompanying table (based on data from Pfizer,Inc.). That table describes results from a clinical trial of the well-known drug Viagra.ViagraTreatmentPlaceboTotalHeadache 117 29 146No Headache 617 696 1313Total 734 725 1459

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