Probability & Statistics Ch.2 Section 2 Question 8

· Mohammad-Ali Bandzar

Solutions for “Probability and Statistics: The Science of Uncertainty” (Second Edition). These are solutions I have come up with; I offer no guarantee of accuracy.

Question

Suppose that a bowl contains 10 chips, each uniquely numbered 0 through 9. The chips are thoroughly mixed, one is drawn and the number on it, X1X_1, is noted. This chip is then replaced in the bowl. A second chip is drawn and the number on it, X2X_2, is noted. Compute P(W=w)P(W = w) for every real number w when W=X1+10X2W = X_1 + 10X_2.

Solution

The probability of drawing any single chip is 110\frac{1}{10}.

There are 100 elements in W, containing all integers from 0 to 99 inclusive. X2X_2 represents the tens digit and X1X_1 represents the units digit. Since all possible outcomes are equally probable, we can generalize:

P(W=w)=0.1×0.1=0.01 for all w[0,99]ZP(W=w)=0.1 \times 0.1 = 0.01 \text{ for all } w \in [0,99] \cap \mathbb{Z}

Otherwise: P(W=w)=0P(W=w)=0 for all w[0,99]Zw\notin [0,99] \cap \mathbb{Z}

Below are the first ten probabilities listed out for illustration:

P(W=0)=P(X1=0)×P(X2=0)=0.1×0.1=0.01P(W=0)=P(X_1=0) \times P(X_2=0) = 0.1 \times 0.1 = 0.01

P(W=1)=P(X1=1)×P(X2=0)=0.1×0.1=0.01P(W=1)=P(X_1=1) \times P(X_2=0) = 0.1 \times 0.1 = 0.01

P(W=2)=P(X1=2)×P(X2=0)=0.1×0.1=0.01P(W=2)=P(X_1=2) \times P(X_2=0) = 0.1 \times 0.1 = 0.01

P(W=3)=P(X1=3)×P(X2=0)=0.1×0.1=0.01P(W=3)=P(X_1=3) \times P(X_2=0) = 0.1 \times 0.1 = 0.01

P(W=4)=P(X1=4)×P(X2=0)=0.1×0.1=0.01P(W=4)=P(X_1=4) \times P(X_2=0) = 0.1 \times 0.1 = 0.01

P(W=5)=P(X1=5)×P(X2=0)=0.1×0.1=0.01P(W=5)=P(X_1=5) \times P(X_2=0) = 0.1 \times 0.1 = 0.01

P(W=6)=P(X1=6)×P(X2=0)=0.1×0.1=0.01P(W=6)=P(X_1=6) \times P(X_2=0) = 0.1 \times 0.1 = 0.01

P(W=7)=P(X1=7)×P(X2=0)=0.1×0.1=0.01P(W=7)=P(X_1=7) \times P(X_2=0) = 0.1 \times 0.1 = 0.01

P(W=8)=P(X1=8)×P(X2=0)=0.1×0.1=0.01P(W=8)=P(X_1=8) \times P(X_2=0) = 0.1 \times 0.1 = 0.01

P(W=9)=P(X1=9)×P(X2=0)=0.1×0.1=0.01P(W=9)=P(X_1=9) \times P(X_2=0) = 0.1 \times 0.1 = 0.01