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Throwing Dice |
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| Nov26-07, 05:27 PM | #1 |
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Throwing Dice
1. The problem statement, all variables and given/known data
Given [tex]S = \{(r,w)| r,w = 1,2,\ldots, 6\}[/tex] Deduce the following three probability functions. Probability that the number of eyes are red (1)[tex]P_{R}(t) = \frac{1}{6}[/tex] for [tex]t \in \{1,2,\ldots 6 \}[/tex] Probability that the number of eyes are either red or white (2)[tex]P_{Y}(t) = \frac{13-2t}{36}[/tex] for [tex]t \in \{1,2,\ldots 6 \}[/tex] Probability that the number of eyes are either red and white (3)[tex]P_{Z}(t) = \frac{2t-1}{36}[/tex] for [tex]t \in \{1,2,\ldots 6 \}[/tex] 3. The attempt at a solution My Proof (1): Since there is 6 sides on each dice the combined space [tex]S = 6 \cdot 6 = 36 [/tex] and since there is 6 sides on each sides of red dice, then [tex]\frac{6}{36} = \frac{1}{6} = P_{R}(t)[/tex] My Proof(2): The Events of throwing the two dice are describe in the schema: [tex] \begin{array}{|c| c| c| c| c| c| } \hline (1,1) & (1,2) & (1,3) & (1,4) & (1,5) & (1,6)\\ \hline (2,1) & (2,2) & (2,3) & (2,4) & (2,5) & (2,6)\\ \hline (3,1) & (3,2) & (3,3) & (3,4) & (3,5) & (3,6)\\ \hline (4,1) & (4,2) & (4,3) & (4,4) & (4,5) & (4,6)\\ \hline (5,1) & (5,2) & (5,3) & (5,4) & (5,5) & (5,6)\\ \hline (6,1) & (6,2) & (5,3) & (5,4) & (6,5) & (6,6)\\ \hline \end{array} [/tex] Thus by in the schema: [tex]\begin{array}{ccc} P(x = 1) = \frac{11}{36} & P(x = 2) = \frac{9}{36} & P(x = 3) = \frac{7}{36}\\P(x = 4) = \frac{5}{36} & P(x = 5) = \frac{3}{36} & P(x = 6) = \frac{1}{36} \end{array}[/tex] which can be describe by the function: [tex]P_{Y}(t) = \frac{13-2t}{36}[/tex] for [tex]t \in \{1,2,\ldots 6 \}[/tex] Proof(3) Thus by in the schema: [tex]\begin{array}{ccc} P(x = 1) = \frac{1}{36} & P(x = 2) = \frac{3}{36} & P(x = 3) = \frac{5}{36}\\P(x = 4) = \frac{7}{36} & P(x = 5) = \frac{9}{36} & P(x = 6) = \frac{11}{36} \end{array}[/tex] which can be describe by the function: [tex]P_{Y}(t) = \frac{2t-1}{36}[/tex] for [tex]t \in \{1,2,\ldots 6 \}[/tex] What You Guys say I have deduced the probability functions correctly?? Am I on the right track?? SIncerely Yours Beowulf |
| Nov27-07, 05:59 AM | #2 |
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I am totally baffled by this! What in the world does the probability of a die coming up a particular number, or anything you have done, have to do with "eyes" being red or white?
Your definition of S says nothing about "eyes" and there is no mention of "eyes" in anything except the questions! What "eyes" are you talking about? |
| Nov27-07, 07:01 AM | #3 |
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Hello Hallsoft:
Thank You for Your reply. I am sorry that the context of the problem was not clear. Here is the problem in its full context: Suppose we throw a red and white die simultaneously. The possible outcome of an experiment such as this can be recorded as follows: [tex]S = \{r,w\}|r,w = 1,2,\ldots, 6\}[/tex] where r is the number of eyes the die shows and w is the number of eyes that the white die shows. R, Y, Z are random variables on the Space S and are defined as follows: R(r,w) = r (number of eyes that the red dice shows) Y(r,w) = [tex]r \wee w[/tex] (lowest number of eyes) Z(r,w) = [tex]r \land w[/tex] (largest number of eyes). What I am tasked with showing is that these random varibles can be expressed by probability functions below: [tex]p_{R} (t) = p_{W}(t) = \frac{1}{6}[/tex] where [tex]t \in \{1,2,\ldots,6\}[/tex] [tex]p_{Y} (t) = \frac{13-2t}{36}[/tex] where [tex]t \in \{1,2,\ldots,6\}[/tex] [tex]p_{Y} (t) = \frac{2t-1}{36}[/tex] where [tex]t \in \{1,2,\ldots,6\}[/tex] This was what I am was trying to show in my orginal post. Does the assigment justify my atempted solution? Thank You for Your answer in Advance. Sincerely Yours Beowulf. |
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