Linear Combinations of Normal Random Variables

Linear Combinations of Normal Random Variables

Given two independent normal distributions \(X\sim N(10,12)\) and \(Y\sim N(5,8)\). Find the normal distribution of

  1. \(4X+2Y\)
  2. \(3X-4Y\)
  3. \({{X}_{1}}+{{X}_{2}}+{{X}_{3}}-{{Y}_{1}}-{{Y}_{2}}-{{Y}_{3}}-{{Y}_{4}}\)

Modelling assumption for the indexed variables: \(X_1,X_2,X_3\) are independent copies of \(X\), \(Y_1,\ldots,Y_4\) are independent copies of \(Y\), and all seven variables are mutually independent.

Video Solution:

Video Solution

Video solution locked

A free account saves your progress; this video needs tuition enrolment.

Solution:

Solution locked

680+ questions here come with free worked solutions. A free account saves your questions and progress; this one needs tuition enrolment.

Create a free account to practise similar questions.

Answer:(i) \(4X+2Y\sim N(50,224)\) (ii) \(3X-4Y\sim N(10,236)\) (iii) \(X_1+X_2+X_3-Y_1-Y_2-Y_3-Y_4\sim N(10,68)\)

Need help? Join our JC Math tuition classes.

Learn more