Math Problem Statement

Two continuous random variables, X and Y, are related such that Y = aX + 5 where a is a positive integer and E(aX + 5) = Var(aX + 5). The mean of X is 9 and the variance of X is 2. Determine: a. the value of the constant a b. E(Y) and Var(Y).

Solution

Given the problem, we have the following information:

  • Y=aX+5Y = aX + 5 where aa is a positive integer.
  • E(aX+5)=Var(aX+5)E(aX + 5) = \text{Var}(aX + 5).
  • The mean of XX, E(X)=9E(X) = 9.
  • The variance of XX, Var(X)=2\text{Var}(X) = 2.

Part (a): Determine the value of the constant aa

Let's first calculate the expected value and variance of Y=aX+5Y = aX + 5:

  1. Expected value of YY: E(Y)=E(aX+5)=aE(X)+5=a×9+5=9a+5E(Y) = E(aX + 5) = aE(X) + 5 = a \times 9 + 5 = 9a + 5

  2. Variance of YY: Var(Y)=Var(aX+5)\text{Var}(Y) = \text{Var}(aX + 5) Since adding a constant does not affect the variance: Var(Y)=Var(aX)=a2Var(X)=a2×2=2a2\text{Var}(Y) = \text{Var}(aX) = a^2 \text{Var}(X) = a^2 \times 2 = 2a^2

Given that E(Y)=Var(Y)E(Y) = \text{Var}(Y), we set up the equation:

9a+5=2a29a + 5 = 2a^2

Rearranging this into a standard quadratic equation form:

2a29a5=02a^2 - 9a - 5 = 0

We solve this quadratic equation using the quadratic formula:

a=b±b24ac2aa = \frac{-b \pm \sqrt{b^2 - 4ac}}{2a} where a=2a = 2, b=9b = -9, and c=5c = -5:

a=(9)±(9)24(2)(5)2(2)=9±81+404=9±1214=9±114a = \frac{-(-9) \pm \sqrt{(-9)^2 - 4(2)(-5)}}{2(2)} = \frac{9 \pm \sqrt{81 + 40}}{4} = \frac{9 \pm \sqrt{121}}{4} = \frac{9 \pm 11}{4}

This gives us two solutions:

a=204=5ora=24=0.5a = \frac{20}{4} = 5 \quad \text{or} \quad a = \frac{-2}{4} = -0.5

Since aa is a positive integer, a=5a = 5 is the valid solution.

Part (b): Calculate E(Y)E(Y) and Var(Y)\text{Var}(Y)

Now that we know a=5a = 5, we can find E(Y)E(Y) and Var(Y)\text{Var}(Y).

  1. Expected value of YY: E(Y)=9a+5=9(5)+5=45+5=50E(Y) = 9a + 5 = 9(5) + 5 = 45 + 5 = 50

  2. Variance of YY: Var(Y)=2a2=2(52)=2×25=50\text{Var}(Y) = 2a^2 = 2(5^2) = 2 \times 25 = 50

Thus, the answers are:

  • (a) a=5a = 5
  • (b) E(Y)=50E(Y) = 50 and Var(Y)=50\text{Var}(Y) = 50

Would you like more details or have any questions? Here are some related questions you might be interested in:

  1. How do you find the expected value and variance of a linear transformation of a random variable?
  2. What are some other types of problems involving continuous random variables?
  3. How does adding or multiplying by constants affect the mean and variance of a random variable?
  4. Can this method be applied to other forms of linear relationships between random variables?
  5. What are the implications if aa were not a positive integer?

Tip: Always double-check the assumptions and given conditions in probability problems, as they can significantly affect the solution approach.

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Math Problem Analysis

Mathematical Concepts

Random Variables
Expected Value
Variance
Linear Transformations

Formulas

Expected value of a linear transformation
Variance of a linear transformation

Theorems

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Suitable Grade Level

Advanced High School