Probability functions and cumulative distribution functionsEdexcel International A Level Maths: Revision notes
Section 1
Discrete random variables
A random variable is a variable whose value depends on the outcome of a random experiment. It is discrete if it takes separate values, usually whole numbers, such as the score on a die or the number of defects in a batch. A capital letter, , names the variable; a lower-case letter, , is a particular value. means 'the probability that takes the value '. The possible values and their probabilities form the probability distribution of .
Mixing up (the variable) and (a value).
Section 2
The probability function p(x)
The probability function is . It can be given as a table, a list or a formula such as for . Two rules always hold:
- for every ;
- over all possible values. Use the second rule to find an unknown constant. Example: gives , so and . For , : , .
After finding an unknown constant, check that every probability is between 0 and 1.
Section 3
The cumulative distribution function F(x)
The cumulative distribution function is It adds up the probabilities from the smallest value up to . Example: for the probabilities on : , , , . never decreases, and for the largest value is 1. For a value that is not possible, use the next lower possible value: if takes whole numbers, .
Treating as . includes every value up to .
Section 4
Using F to find probabilities
Convert each probability into differences of (for whole-number values):
- Example: if , , , then and . To go the other way, add the probabilities cumulatively: gives .
For the value is included, so subtract of the value just below .
Section 5
Building a distribution from a situation
To find a distribution from a situation, list the possible values, count or calculate each probability, and check the total is 1. Example: a fair four-sided die rolled twice and the larger score. Of the 16 outcomes, for 5, so , and in general for . A shortcut: , so . For three rolls, and . Working with is often quicker for 'largest' or 'smallest' questions.
For 'largest', use and multiply independent probabilities.
That's the notes covered.
Carry on to the next subtopic.
Exam questions on Probability functions and cumulative distribution functions
- The discrete random variable has probability function for , where is a constant.Find .2 marks
- The discrete random variable takes the values 1, 2, 3 and 4. Its cumulative distribution function is given by , , and .Find the probability that is either 2 or 4.2 marks
- The discrete random variable has probability function for , where is a constant.Find the value of and write down the probability function as a list of probabilities.3 marks
Written by the Exaim team, led by Shaun Daswani (Head of Upper Secondary, Improve ME Institute; MSc Financial Mathematics, Imperial College London; BSc, UCL) and Jason Daswani (operational lead, Improve ME Institute; LSE).