The Normal Distribution: Mathematics 9709 (Cambridge International AS & A Level)
Syllabus 5.5 · Strand 5 Probability & Statistics 1
- Questions
- 10
- Total marks
- 50
- Tier mix
- 10 Core
0 of 10 questions completed
Syllabus coverage
- 5.5 10 questions completed
The normal distribution (syllabus ref 5.5), written , models a continuous random variable that clusters symmetrically around a mean with spread controlled by the variance (think heights, masses, or measurement errors. Because its curve has no simple closed-form area, every calculation goes through standardisation: converts any normal variable into the standard normal , whose probabilities are read from tables. Two directions of question appear: finding a probability such as given and , and working backwards to find , or given a stated probability) both require showing the standardisation step explicitly.
The normal distribution also serves as an approximation to the binomial when is large enough that and (where ), using and . Because the binomial is discrete and the normal is continuous, a continuity correction (e.g. replacing with before standardising) is essential whenever this approximation is used, a step examiners specifically check for.
Original worked examples covering direct calculations, reverse problems and the binomial approximation are given below.
Question 1
The resting heart rate, beats per minute, of an adult patient at a clinic is modelled by .
What is the probability that a randomly chosen patient has a resting heart rate of less than beats per minute?
Question 2
A phone manufacturer models the battery life, hours, of a fully charged phone under normal use by .
(a) Find . [3]
(b) Find . [4]
Question 3
The time, minutes, that a student takes to answer a particular exam question is modelled by .
(a) Find the value of such that . [3]
(b) Find the value of such that . [3]
Question 4
A drinks-bottling machine fills cans with cola so that the volume, ml, in a randomly chosen can is modelled by . Quality-control records show that of cans contain more than ml, and of cans contain less than ml.
(a) Show that , and write down a similar equation connecting , and the boundary ml. [2]
(b) Solve these two equations to find and , giving each answer to 3 significant figures. [5]
Question 5
In a large regional archery competition, the probability that a competitor hits the bullseye with a randomly chosen shot is . A random sample of shots is analysed, and is the number of these shots that hit the bullseye.
(a) State, with justification, the normal distribution that may be used to approximate . [2]
(b) Using this approximation, with a continuity correction, find . [4]
Question 6
A machine fills tins of paint so that the volume, litres, in a randomly chosen tin is modelled by .
What is the probability that a randomly chosen tin contains less than litres of paint?
Question 7
Farmed salmon reared at a fish farm have weight, grams, modelled by .
(a) Find . [3]
(b) Find the probability that a randomly chosen salmon's weight differs from the mean by more than grams, that is, find . [4]
Question 8
In a cycling time-trial, the time taken, minutes, by a randomly chosen rider is modelled by . The fastest of riders (those with the shortest times) qualify for the final.
What is the qualifying time, minutes, such that ?
Question 9
In a large batch of electronic resistors, the probability that a randomly chosen resistor is defective is . A random sample of resistors is taken, and is the number of defective resistors in the sample.
(a) State, with justification, the normal distribution that may be used to approximate . [2]
(b) Using this approximation, with a continuity correction, find . [5]
Question 10
Scores on a standardised aptitude test, , for applicants to a college are modelled by , where is unknown. Records show that of applicants score more than .
(a) Find the value of , giving your answer to 3 significant figures. [3]
(b) Using this value of , find . [4]