Mean & Variance of a CRV (DP IB Analysis & Approaches (AA)): Revision Note

Did this video help you?

Mean & Variance of a CRV

What are the mean and variance of a continuous random variable?

  • E(X) is the expected value, or mean, of the continuous random variable X

    • E(X) can also be denoted by μ

  • Var(X) is the variance of the continuous random variable X

    • Var(X) can also be denoted by σ2

    • The standard deviation, σ, is the square root of the variance

How do I find the mean and variance of a continuous random variable?

  • The mean is given by


    mu equals straight E left parenthesis X right parenthesis equals integral subscript negative infinity end subscript superscript infinity x f left parenthesis x right parenthesis space straight d x

    • This is given in the formula booklet

    • If the graph of y = f(x) has axis of symmetry, x = a, then E(X) = a

  • The variance is given by


    space sigma squared equals Var stretchy left parenthesis X stretchy right parenthesis equals straight E stretchy left parenthesis X squared stretchy right parenthesis minus stretchy left square bracket straight E open parentheses X close parentheses stretchy right square bracket squared


    where space straight E left parenthesis X squared right parenthesis equals integral subscript negative infinity end subscript superscript infinity x squared f left parenthesis x right parenthesis space straight d x


    • This is given in the formula booklet

    • Another version of the variance is given in the formula booklet


      space Var left parenthesis x right parenthesis equals integral subscript negative infinity end subscript superscript infinity left parenthesis x minus mu right parenthesis squared space f left parenthesis x right parenthesis space straight d x equals integral subscript negative infinity end subscript superscript infinity x squared f left parenthesis x right parenthesis space straight d x minus mu squared

    • but the first version above is usually more practical for solving problems

  • Be careful about confusing E(X2) and [E(X)]2

    • space straight E left parenthesis X squared right parenthesis equals integral subscript negative infinity end subscript superscript infinity x squared f left parenthesis x right parenthesis space straight d x   "mean of the squares"

    • space open square brackets straight E left parenthesis X right parenthesis close square brackets squared equals open square brackets integral subscript negative infinity end subscript superscript infinity x f left parenthesis x right parenthesis space straight d x close square brackets squared              "square of the mean"

How do I find the mean and variance of a linear transformation of a continuous random variable?

  • For the continuous random variable, X, with mean E(X) and variance Var(X) then

space straight E left parenthesis a X plus b right parenthesis equals a straight E left parenthesis X right parenthesis plus b

and

space Var left parenthesis a X plus b right parenthesis equals a squared Var left parenthesis X right parenthesis

Examiner Tips and Tricks

  • Using your GDC to draw the graph of y = f(x) can highlight any symmetrical properties which reduce the work involved in finding the mean and variance

Worked Example

A continuous random variable, X, is modelled by the probability distribution function, f(x), such that

a) Find the mean of X.

4-7-1-ib-hl-aa-only-we3a-soltn

b) Find standard deviation of X.

4-7-1-ib-hl-aa-only-we3b-soltn

You've read 0 of your 5 free revision notes this week

Unlock more, it's free!

Join the 100,000+ Students that ❤️ Save My Exams

the (exam) results speak for themselves:

Did this page help you?

Paul

Author: Paul

Expertise: Maths Content Creator

Paul has taught mathematics for 20 years and has been an examiner for Edexcel for over a decade. GCSE, A level, pure, mechanics, statistics, discrete – if it’s in a Maths exam, Paul will know about it. Paul is a passionate fan of clear and colourful notes with fascinating diagrams.