Questions: Two tire-quality experts examine stacks of tires and assign a quality rating to each tire on a 3-point scale. Let X denote the rating given by expert A and Y denote the rating given by expert B. The following table gives the joint distribution for X and Y. Find μX and μY
Joint Distribution
f(x, y) y
1 2 3
x 1 0.12 0.06 0.01
2 0.11 0.32 0.06
3 0.02 0.11 0.19
Transcript text: Two tire-quality experts examine stacks of tires and assign a quality rating to each tire on a 3-point scale. Let $X$ denote the rating given by expert $A$ and $Y$ denote the rating given by expert $B$. The following table gives the joint distribution for $X$ and $Y$. Find $\mu_{X}$ and $\mu_{Y}$
Joint Distribution
\begin{tabular}{|c|c|c|c|c|c|}
\hline \multirow{2}{*}{\multicolumn{2}{|c|}{$f(x, y)$}} & & $y$ & & \\
\hline & & 1 & 2 & 3 & \\
\hline \multirow{3}{*}{ x } & 1 & 0.12 & 0.06 & 0.01 & \\
\hline & 2 & 0.11 & 0.32 & 0.06 & \\
\hline & 3 & 0.02 & 0.11 & 0.19 & \\
\hline
\end{tabular}
Solution
Solution Steps
To find the expected values (means) μX and μY, we need to use the joint distribution table. The expected value of a random variable is calculated by summing the product of each value and its probability.
For μX, we sum over all possible values of X weighted by their marginal probabilities. Similarly, for μY, we sum over all possible values of Y weighted by their marginal probabilities.
Step 1: Calculate Marginal Probabilities for X
To find the marginal probabilities for X, we sum the joint probabilities over all values of Y:
P(X=1)=0.12+0.06+0.01=0.19P(X=2)=0.11+0.32+0.06=0.49P(X=3)=0.02+0.11+0.19=0.32
Step 2: Calculate Marginal Probabilities for Y
To find the marginal probabilities for Y, we sum the joint probabilities over all values of X:
P(Y=1)=0.12+0.11+0.02=0.25P(Y=2)=0.06+0.32+0.11=0.49P(Y=3)=0.01+0.06+0.19=0.26
Step 3: Calculate Expected Value μX
The expected value μX is calculated by summing the product of each value of X and its marginal probability:
μX=1⋅0.19+2⋅0.49+3⋅0.32=0.19+0.98+0.96=2.13
Step 4: Calculate Expected Value μY
The expected value μY is calculated by summing the product of each value of Y and its marginal probability:
μY=1⋅0.25+2⋅0.49+3⋅0.26=0.25+0.98+0.78=2.01