Linear functions of a DRVAQA A-Level Further Maths: Revision notes
Section 1
What a linear function does to a distribution
A linear function of a random variable has the form . The constant scales every value and shifts every value; the probabilities are unchanged. Typical uses: converting units (), profit price number sold fixed cost, and standardising a variable. Example: if with probabilities , then takes the values with the same probabilities.
The probabilities attached to each outcome stay the same; only the values change.
Section 2
Expectation of aX + b
The mean is scaled and shifted in exactly the same way as the values. The proof uses the definition: , since . Example: , so and .
Writing . The is added after multiplying by .
Section 3
Variance and standard deviation of aX + b
A shift by does not change the spread, so disappears. Scaling by multiplies the spread by , so the variance is multiplied by . Hence the standard deviation is the standard deviation of . Because , a negative never gives a negative variance: . Example: , so and the standard deviation is .
Using instead of , adding to the variance, or leaving a negative variance when .
Section 4
Worked example and checking directly
A café sells meals with and ; profit . , and the standard deviation is . You can always check with the distribution itself: list the new values with the same probabilities, then compute and . The results must match the formulas. To standardise, choose and so that and : and .
Use the formulas to find mean and variance quickly, and use the table method only when asked or as a check.
That's the notes covered.
Carry on to the next subtopic.
Exam questions on Linear functions of a DRV
- The discrete random variable has and . The random variable is defined by .Find the standard deviation of .2 marks
- The number of special meals, , sold at a café in one day has and . The daily profit, in pounds, is .The café changes its pricing so that the daily profit becomes . Find and .2 marks
- The noon temperature (C) in a greenhouse is modelled as a discrete random variable with and standard deviation . The temperature in degrees Fahrenheit is .Find and .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).