Consider the following random experiment: you roll two dice whose faces have the labels 0, 0, 1, 1, 2, 2: that is, when you roll one die, you get a result of 0, 1, or 2 with equal probability. (a) Write down the “big” sample space for this random experiment: the one which gives us the results of both rolls as the outcome. (There are two plausible ways to do this; pick the one where we sample uniformly from this sample space.) (b) Let X be the random variable which gives the larger of the two numbers rolled. For example, if the two rolls are and , then X = 1. Describe X as a function from the sample space to its range RX = {0, 1, 2}. (One description I’d be happy with is an arrow diagram, though you may choose anything else as long as you convey the same information.) (c) Write down the probability mass function PX(k).

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.
Chapter12: Probability
Section12.3: Conditional Probability; Independent Events; Bayes' Theorem
Problem 39E: The following problem submitted by Daniel Hahn of Blairstown, Iowa, appeared in the Ask Marilyn...
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Consider the following random experiment: you roll two dice whose faces have the labels
0, 0, 1, 1, 2, 2: that is, when you roll one die, you get a result of 0, 1, or 2 with equal
probability.
(a) Write down the “big” sample space for this random experiment: the one which gives us
the results of both rolls as the outcome. (There are two plausible ways to do this; pick
the one where we sample uniformly from this sample space.)
(b) Let X be the random variable which gives the larger of the two numbers rolled. For
example, if the two rolls are and , then X = 1.
Describe X as a function from the sample space to its range RX = {0, 1, 2}. (One
description I’d be happy with is an arrow diagram, though you may choose anything
else as long as you convey the same information.)
(c) Write down the probability mass function PX(k).

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