Consider the following events:A: X1, X2, ...,X, are independent and come from a Rayleighdistribution with pdffi(x) =- expon r> 0.01201A° : X1, X2,.., Xn are independent and come from an exponentialdistribution with pdff2(x) = 02 exp (-02x)on r> 0.(a) Show that the Bayes factor, B(x, A), for event A against event A isB(r, A) =exp ( 02 > ri201

Given the following events: 0 end text " role="math" width="486" height="125" style="max-width:…

Answered: Consider the following events: A: X₁,…

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter11: Differential Equations

Section11.CR: Chapter 11 Review

Problem 5CR

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When a man observed a sobriety checkpoint conducted by a police department, he saw 676 drivers were screened and 3 were arrested for driving while intoxicated. Based on those results, we can estimate that P(W) = 0.00444, where W denoles the event of screening a driver and getting someone who is intoxicated. What does P (W) denote, and what is its value? What does P(W) represent? O A. P(W) denotes the probability of a driver passing through the sobriety checkpoint. OB. P(W) denotes the probability of screening a driver and finding that he or she is not intoxicated. O C. P(W) denotes the probability of driver being intoxicated. O D. P(W) denotes the probability of screening a driver and finding that he or she is intoxicated. P(W) =D (Round to five decimal places as needed.)
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