Christopher and Jade each have a bouquet of flowers (the two bouquets are distinguishable). Initially, each bouquet contains 4 roses and 5 tulips (any two roses are indistinguishable, any two tulips are indistinguishable, but a rose and a tulip are distinguishable). Christopher first picks a flower uniformly at random from Jade’s bouquet and moves it to his own. Then, Jade picks a flower uniformly at random from Christopher’s bouquet and adds it to her own. What is the probability that Jade picks a rose? To help you get started, we will provide the sample space: The sample space here is the possibilities of what Christopher and Jade pick. Ω = {RR, RT, T R, T T } where R represents “picks a rose” and T represents “picks a tulip.” Note that the sample space is not uniform. Normally we would require you to describe the entire probability space (that is, probabilities for all outcomes) but in this problem it will be sufficient for you to compute the probabilities of the outcomes that are of interest for the question asked.

A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Christopher and Jade each have a bouquet of flowers (the two bouquets are distinguishable). Initially, each bouquet contains 4 roses and 5 tulips (any two roses are indistinguishable, any two tulips are indistinguishable, but a rose and a tulip are distinguishable). Christopher first picks a flower uniformly at random from Jade’s bouquet and moves it to his own. Then, Jade picks a flower uniformly at random from Christopher’s bouquet and adds it to her own. What is the probability that Jade picks a rose? To help you get started, we will provide the sample space: The sample space here is the possibilities of what Christopher and Jade pick. Ω = {RR, RT, T R, T T } where R represents “picks a rose” and T represents “picks a tulip.” Note that the sample space is not uniform. Normally we would require you to describe the entire probability space (that is, probabilities for all outcomes) but in this problem it will be sufficient for you to compute the probabilities of the outcomes that are of interest for the question asked.
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