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Questions TABLE 3.10 Ankle Test Results 1. Let CP represent the event that the ankle was truly fractured, and let T+ represent the event that the test said it was. From the table, estimate the positive predictive value and the negative predictive value. Truth Regarding Fracture Predicted by the Ottawa Ankle Test Not Fractured Totals 56 Not Fractured 51 365 Fractured 277 328 93 421 Totals 2. Which do you think a patient would be more interested in, P(T+ICP) or P(CPIT+)? Why? Have a look at the Bayes Rule equation again. Write out the equation for the positive predictive value. Assuming P(T+) doesnt change with prevalence, what happens to the positive predictive value as the prevalence in the population increases? Do you find that reasonable or not? Explain. 3.
math   Statistics-And-Probability   
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