Central Tendency & DispersionMTP March 21Question 3167 of 473
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If X\displaystyle X and Y\displaystyle Y are two random variables then v(x+y)\displaystyle v(x+y), when x\displaystyle x is independent of y\displaystyle y

Options

Av(x)+v(y)\displaystyle v(x) + v(y)
Bv(x)+v(y)−2v(x,y)\displaystyle v(x) + v(y) - 2v(x,y)
Cv(x)+v(y)+2v(x,y)\displaystyle v(x) + v(y) + 2v(x,y)
Dv(x)−v(y)\displaystyle v(x) - v(y)
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Correct Answer

✅ Option a — v(x)+v(y)\displaystyle v(x) + v(y)

All Options:

  • Av(x)+v(y)\displaystyle v(x) + v(y)
  • Bv(x)+v(y)−2v(x,y)\displaystyle v(x) + v(y) - 2v(x,y)
  • Cv(x)+v(y)+2v(x,y)\displaystyle v(x) + v(y) + 2v(x,y)
  • Dv(x)−v(y)\displaystyle v(x) - v(y)

Detailed Solution & Explanation

**Concept: Variance of Sum of Two Random Variables** In general: V(X+Y)=V(X)+V(Y)+2Cov(X,Y)V(X + Y) = V(X) + V(Y) + 2\text{Cov}(X, Y) **When X\displaystyle X and Y\displaystyle Y are independent:** Cov(X,Y)=0\text{Cov}(X, Y) = 0 ∴V(X+Y)=V(X)+V(Y)+2(0)=V(X)+V(Y)\therefore V(X + Y) = V(X) + V(Y) + 2(0) = V(X) + V(Y) Note: Option C includes +2V(X,Y)\displaystyle +2V(X,Y) which would apply when they are NOT independent. Option B uses subtraction (which applies to V(X−Y)\displaystyle V(X-Y) for independent variables). For independent X\displaystyle X and Y\displaystyle Y: V(X+Y)=V(X)+V(Y)\displaystyle V(X+Y) = V(X) + V(Y). Hence, **Option A** is the correct answer.

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