Probability Density Function (DP IB Analysis & Approaches (AA)): Revision Note

Calculating probabilities using PDF

A continuous random variable can take any value in an interval so is typically used when continuous quantities are involved (time, distance, weight, etc)

What is a probability density function (p.d.f.)?

  • For a continuous random variable, a function can be used to model probabilities

    • This function is called a probability density function (p.d.f.), denoted by f(x)

  • For f(x) to represent a p.d.f. the following conditions must apply:

    • f(x) ≥ 0 for all values of x

    • The area under the graph of y = f(x) must total 1

  • In most problems, the domain of f(x) is restricted to an interval, a ≤ x ≤ b say, with all values of x outside of the interval having f(x)=0

How do I find probabilities using a probability density function (p.d.f.)?

  • The probability that the continuous random variable X lies in the interval a ≤ X ≤ b, where X has the probability density function f(x), is given by

straight P left parenthesis a less or equal than X less or equal than b right parenthesis equals integral subscript a superscript b f left parenthesis x right parenthesis space straight d x 

  • For any continuous random variable (including the normal distribution), the following are true:

    • straight P open parentheses a less or equal than X less or equal than b close parentheses equals straight P left parenthesis a less than X less than b right parenthesis

      • I.e. less or equal than and less than are interchangeable

    • straight P left parenthesis X equals a right parenthesis equals 0, for any single value a

      • Because straight P left parenthesis X equals a right parenthesis equals integral subscript a superscript a f left parenthesis x right parenthesis space straight d x equals 0

  • For linear functions it can be easier to calculate the probability integral using areas of geometric shapes

    • Rectangle: A = bh

    • Triangle: A = ½(bh)

    • Trapezoid: A = ½(a+b)h

How do I determine whether a function is a valid pdf?

  • Some questions may ask you to justify the use of a given function as a probability density function

    • In such cases check and confirm that the function meets the two conditions

      • f(x) ≥ 0 for all values of x

      • total area under the graph is 1

Examiner Tips and Tricks

Don't forget the f open parentheses x close parentheses greater or equal than 0 condition. A common error is to confirm that the total area is equal to 1, but to forget to confirm that f open parentheses x close parentheses greater or equal than 0 is always true.

How do I use a pdf to find probabilities?

  • STEP 1
    Identify the probability density function, f(x) - this may be given as a graph, an equation or as a piecewise function

    • e.g.  space f left parenthesis x right parenthesis equals open curly brackets table row cell 0.02 x end cell cell 0 less or equal than x less or equal than 10 end cell row 0 otherwise end table close

    • Identify the limits of x for a particular problem

    • Remember that P(a ≤ X ≤ b) = P(a < X < b)

  • STEP 2
    Sketch, or use your GDC to draw, the graph of y = f(x)

    • Look for basic shapes (rectangles, triangles and trapezoids) as finding these areas is easier without using integration

    • Look for symmetry in the graph that may make the problem easier

    • Break the area required into two or more parts if it makes the problem easier

  • STEP 3
    Find the area(s) required using basic shapes or integration and answer the question
     

  • Trickier problems may ask you to find one of the integration limits of the integral given the value of a probability

    • e.g. Find the value of a given that straight P open parentheses 0 less or equal than X less or equal than a close parentheses equals 0.09

Worked Example

The continuous random variable, X, has probability density function

f open parentheses x close parentheses equals open curly brackets table row cell 0.08 x end cell cell 0 less or equal than x less or equal than 5 end cell row 0 otherwise end table close

a) Show that f(x) is a valid probability density function.

4-7-1-ib-hl-aa-only-we1a-soltn-

b) Find, both geometrically and using integration, P(0 ≤ X ≤ 2).

4-7-1-ib-hl-aa-only-we1b-soltn-

c) Write down P(X = 3.2).

4-7-1-ib-hl-aa-only-we1c-soltn-

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