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Practice — Statistics bridge for Further Mathematics • 0.9 Linear combinations of random variables

1. Linearity of expectation
Difficulty: ★☆☆
2174

\(\mathrm{E}(X)=8\) and \(Y=3X-5\). What is \(\mathrm{E}(Y)\)?

Hint
Apply the multiplier and fixed shift directly to the given expectation.
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2. Variance after scaling
Difficulty: ★☆☆
2175

\(\operatorname{Var}(X)=6\) and \(Y=7-3X\). What is \(\operatorname{Var}(Y)\)?

Hint
Ignore the fixed shift when calculating variance, and square the coefficient of the random variable.
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3. Standard deviation after scaling
Difficulty: ★☆☆
2176

\(X\) has standard deviation \(2.5\). If \(Y=12-4X\), what is the standard deviation of \(Y\)?

Hint
A negative multiplier reverses values but still multiplies spread by its absolute size.
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4. Independent linear combination
Difficulty: ★★☆
2177

\(X\) and \(Y\) are independent, with expectations \(4\) and \(9\) and variances \(3\) and \(2\), respectively. Let \(W=2X-3Y+1\). Which pair gives the expectation and variance of \(W\)?

Hint
Keep the original coefficients for expectation and square them for variance.
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5. Which rule needs independence?
Difficulty: ★★☆
2178

\(\mathrm{E}(X)=6\), \(\mathrm{E}(Y)=4\), \(\operatorname{Var}(X)=9\) and \(\operatorname{Var}(Y)=1\). No information about dependence is given. Which statement is necessarily true?

Hint
Distinguish a rule that always holds for expectations from a variance rule that needs a dependence condition.
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6. Repeated variable versus independent copies
Difficulty: ★★☆
2179

\(X\) has variance \(4\). Let \(A=3X\) and \(B=X_1+X_2+X_3\), where \(X_1,X_2,X_3\) are independent copies of \(X\). Which pair gives \(\operatorname{Var}(A)\) and \(\operatorname{Var}(B)\)?

Hint
Ask whether the three terms share one realised value or come from three independent observations.
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7. Distribution of a normal combination
Difficulty: ★★☆
2180

\(X\sim N(15,4)\) and \(Y\sim N(9,5)\) are independent. In this notation the second parameter is the variance. What is the distribution of \(2X-Y\)?

Hint
Find the mean and variance separately, then use closure of independent normal variables under linear combinations.
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8. Comparing independent normal variables
Difficulty: ★★☆
2181

Independent lengths satisfy \(A\sim N(30,9)\) and \(B\sim N(24,7)\), with variances as the second parameters. Find \(P(A>B+2)\), correct to \(4\) decimal places.

Hint
Define the difference \(A-B\) and rewrite the event as a statement about that one variable.
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9. Unknown mean and a normal comparison
Difficulty: ★★★
2182

\(X\sim N(\mu,4)\) and \(Y\sim N(10,9)\) are independent, with variances as the second parameters. It is known that \(\mathrm{E}(2X+Y)=26\). Find \(P(X-Y>1)\), correct to \(4\) decimal places.

Hint
First use the stated expectation to determine \(\mu\), then form the difference distribution.
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10. Shared variables in a comparison
Difficulty: ★★★
2183

\(X\sim N(4,9)\) and \(Y\sim N(6,4)\) are independent, with variances as the second parameters. Define \(A=2X+Y\) and \(B=X+3Y\). Find \(P(A>B)\), correct to \(4\) decimal places.

Hint
Simplify \(A-B\) in terms of \(X\) and \(Y\) before calculating its variance.
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