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

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  • 5.5 10 questions

The normal distribution (syllabus ref 5.5), written XN(μ,σ2)X\sim N(\mu,\sigma^2), models a continuous random variable that clusters symmetrically around a mean μ\mu with spread controlled by the variance σ2\sigma^2 (think heights, masses, or measurement errors. Because its curve has no simple closed-form area, every calculation goes through standardisation: Z=XμσZ=\dfrac{X-\mu}{\sigma} converts any normal variable into the standard normal ZN(0,1)Z\sim N(0,1), whose probabilities are read from tables. Two directions of question appear: finding a probability such as P(X>x1)P(X>x_1) given μ\mu and σ\sigma, and working backwards to find x1x_1, μ\mu or σ\sigma given a stated probability) both require showing the standardisation step explicitly.

The normal distribution also serves as an approximation to the binomial B(n,p)B(n,p) when nn is large enough that np>5np>5 and nq>5nq>5 (where q=1pq=1-p), using μ=np\mu=np and σ2=npq\sigma^2=npq. Because the binomial is discrete and the normal is continuous, a continuity correction (e.g. replacing P(X12)P(X\le 12) with P(X<12.5)P(X<12.5) 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

Multiple choice AS 1 mark

The resting heart rate, HH beats per minute, of an adult patient at a clinic is modelled by HN(72,52)H\sim N(72, 5^2).

What is the probability that a randomly chosen patient has a resting heart rate of less than 7878 beats per minute?

Question 2

Structured AS 7 marks

A phone manufacturer models the battery life, TT hours, of a fully charged phone under normal use by TN(11.5,1.22)T\sim N(11.5, 1.2^2).

(a) Find P(T>13)P(T>13). [3]

(b) Find P(10<T<12.7)P(10<T<12.7). [4]

Question 3

Structured AS 6 marks

The time, MM minutes, that a student takes to answer a particular exam question is modelled by MN(24,52)M\sim N(24, 5^2).

(a) Find the value of mm such that P(M>m)=0.10P(M>m)=0.10. [3]

(b) Find the value of xx such that P(M<x)=0.05P(M<x)=0.05. [3]

Question 4

Structured AS 7 marks

A drinks-bottling machine fills cans with cola so that the volume, VV ml, in a randomly chosen can is modelled by VN(μ,σ2)V\sim N(\mu,\sigma^2). Quality-control records show that 5%5\% of cans contain more than 350350 ml, and 2.5%2.5\% of cans contain less than 306306 ml.

(a) Show that 350μ=1.6449σ350-\mu=1.6449\sigma, and write down a similar equation connecting μ\mu, σ\sigma and the boundary 306306 ml. [2]

(b) Solve these two equations to find μ\mu and σ\sigma, giving each answer to 3 significant figures. [5]

Question 5

Structured AS 6 marks

In a large regional archery competition, the probability that a competitor hits the bullseye with a randomly chosen shot is 0.40.4. A random sample of 150150 shots is analysed, and XX is the number of these shots that hit the bullseye.

(a) State, with justification, the normal distribution that may be used to approximate XX. [2]

(b) Using this approximation, with a continuity correction, find P(X>70)P(X>70). [4]

Question 6

Multiple choice AS 1 mark

A machine fills tins of paint so that the volume, VV litres, in a randomly chosen tin is modelled by VN(5,0.12)V\sim N(5, 0.1^2).

What is the probability that a randomly chosen tin contains less than 4.854.85 litres of paint?

Question 7

Structured AS 7 marks

Farmed salmon reared at a fish farm have weight, WW grams, modelled by WN(1200,2002)W\sim N(1200, 200^2).

(a) Find P(W>1000)P(W>1000). [3]

(b) Find the probability that a randomly chosen salmon's weight differs from the mean by more than 300300 grams, that is, find P(W1200>300)P(|W-1200|>300). [4]

Question 8

Multiple choice AS 1 mark

In a cycling time-trial, the time taken, RR minutes, by a randomly chosen rider is modelled by RN(48,42)R\sim N(48, 4^2). The fastest 10%10\% of riders (those with the shortest times) qualify for the final.

What is the qualifying time, tt minutes, such that P(R<t)=0.10P(R<t)=0.10?

Question 9

Structured AS 7 marks

In a large batch of electronic resistors, the probability that a randomly chosen resistor is defective is 0.050.05. A random sample of 200200 resistors is taken, and XX is the number of defective resistors in the sample.

(a) State, with justification, the normal distribution that may be used to approximate XX. [2]

(b) Using this approximation, with a continuity correction, find P(8X14)P(8\le X\le14). [5]

Question 10

Structured AS 7 marks

Scores on a standardised aptitude test, SS, for applicants to a college are modelled by SN(500,σ2)S\sim N(500, \sigma^2), where σ\sigma is unknown. Records show that 5%5\% of applicants score more than 650650.

(a) Find the value of σ\sigma, giving your answer to 3 significant figures. [3]

(b) Using this value of σ\sigma, find P(400<S<600)P(400<S<600). [4]