Part 1: Suppose that F and X are events from a common sample space with P(F)+0 and P(X)÷0. (a) Prove that P(X) - P(X n F) is another way of writing the definition of conditional probability, and then use that with the logic from the proof of Theorem 4.1.1. P(X|F)P(F) + P(X|F)P(F). Hint: Explain why P(X|F)P(F) (b) Explain why P(F|X) = P(X|F)P(F)/P(X) is another way of stating Theorem 4.2.1 Bayes' Theorem. Part 2: A website reports that 70% of its users are from outside a certain country. Out of their users from outside the country, 60% of them log on every day. Out of their users from inside the country, 80% of them log on every day. (a) What percent of all users log on every day? Hint: Use the equation from Part 1 (a).
Part 1: Suppose that F and X are events from a common sample space with P(F)+0 and P(X)÷0. (a) Prove that P(X) - P(X n F) is another way of writing the definition of conditional probability, and then use that with the logic from the proof of Theorem 4.1.1. P(X|F)P(F) + P(X|F)P(F). Hint: Explain why P(X|F)P(F) (b) Explain why P(F|X) = P(X|F)P(F)/P(X) is another way of stating Theorem 4.2.1 Bayes' Theorem. Part 2: A website reports that 70% of its users are from outside a certain country. Out of their users from outside the country, 60% of them log on every day. Out of their users from inside the country, 80% of them log on every day. (a) What percent of all users log on every day? Hint: Use the equation from Part 1 (a).
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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I need help with 2a (yellow highlight) using the proof of Theorem 4.1.1 from 1a (red circled).
***Please type your answer or write in print, because I have had great difficulty with understanding most handwritten assistance done in cursive or mixed print/cursive.
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