Edexcel S3 2009 June — Question 8

Exam BoardEdexcel
ModuleS3 (Statistics 3)
Year2009
SessionJune
TopicLinear combinations of normal random variables
TypePure expectation and variance calculation

  1. The random variable \(A\) is defined as
$$A = 4 X - 3 Y$$ where \(X \sim \mathrm {~N} \left( 30,3 ^ { 2 } \right) , Y \sim \mathrm {~N} \left( 20,2 ^ { 2 } \right)\) and \(X\) and \(Y\) are independent. Find
  1. \(\mathrm { E } ( A )\),
  2. \(\operatorname { Var } ( A )\). The random variables \(Y _ { 1 } , Y _ { 2 } , Y _ { 3 }\) and \(Y _ { 4 }\) are independent and each has the same distribution as \(Y\). The random variable \(B\) is defined as $$B = \sum _ { i = 1 } ^ { 4 } Y _ { i }$$
  3. Find \(\mathrm { P } ( B > A )\).