The Normal Distribution: Question 7

Syllabus 5.5

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]

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Worked solution

Setting up

WN(1200,2002)W\sim N(1200,200^2), so μ=1200\mu=1200 and σ=200\sigma=200. Every probability is found via Z=WμσZ=\dfrac{W-\mu}{\sigma}.

Part (a): P(W > 1000)

z=10001200200=200200=1z=\frac{1000-1200}{200}=\frac{-200}{200}=-1

P(W>1000)=P(Z>1)P(W>1000)=P(Z>-1)

By symmetry of the standard normal curve, P(Z>1)=P(Z<1)=Φ(1)P(Z>-1)=P(Z<1)=\Phi(1). From the table, Φ(1)=0.8413\Phi(1)=0.8413, so

P(W>1000)=0.8413P(W>1000)=0.8413

Part (b): P(|W − 1200| > 300)

“Differs from the mean by more than 300300 g” means W<900W<900 or W>1500W>1500, a symmetric two-tailed probability.

Standardise both boundaries: z=9001200200=1.5andz=15001200200=1.5z=\frac{900-1200}{200}=-1.5 \qquad \text{and} \qquad z=\frac{1500-1200}{200}=1.5

By symmetry, each tail has the same probability: P(W<900)=P(W>1500)=1Φ(1.5)=10.9332=0.0668P(W<900)=P(W>1500)=1-\Phi(1.5)=1-0.9332=0.0668

Adding the two tails: P(W1200>300)=P(W<900)+P(W>1500)=0.0668+0.0668=0.1336P(|W-1200|>300)=P(W<900)+P(W>1500)=0.0668+0.0668=0.1336

Check: 300300 g is 1.5σ1.5\sigma from the mean on each side, so leaving roughly 13%13\% of the probability split evenly between two moderately distant tails is a sensible order of magnitude.

Final answers

  • (a) P(W>1000)=0.8413P(W>1000)=\boxed{0.8413}
  • (b) P(W1200>300)=0.1336P(|W-1200|>300)=\boxed{0.1336}