The Normal Distribution: Question 9

Syllabus 5.5

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]

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Worked solution

Part (a): Justifying and stating the approximation

XB(200,0.05)X\sim B(200,0.05), so n=200n=200 and p=0.05p=0.05, giving q=1p=0.95q=1-p=0.95.

Check the conditions for a normal approximation: np=200×0.05=10>5nq=200×0.95=190>5np=200\times0.05=10>5 \qquad nq=200\times0.95=190>5

Both conditions hold, so XX may be approximated by a normal distribution with mean=np=10,variance=npq=200×0.05×0.95=9.5\text{mean}=np=10, \qquad \text{variance}=npq=200\times0.05\times0.95=9.5

XN(10,9.5)X\approx N(10,9.5)

Part (b): P(8 ≤ X ≤ 14) with a continuity correction

XX takes only whole-number values, so the continuity correction extends the required region outward by 0.50.5 at each boundary: P(8X14)P(7.5<Y<14.5),where YN(10,9.5)P(8\le X\le14)\approx P(7.5<Y<14.5), \quad \text{where } Y\sim N(10,9.5)

Standardise using σ=9.5=3.0822\sigma=\sqrt{9.5}=3.0822 (4 d.p.): z1=7.5103.0822=2.53.0822=0.81 (2 d.p.)z_1=\frac{7.5-10}{3.0822}=\frac{-2.5}{3.0822}=-0.81 \text{ (2 d.p.)} z2=14.5103.0822=4.53.0822=1.46 (2 d.p.)z_2=\frac{14.5-10}{3.0822}=\frac{4.5}{3.0822}=1.46 \text{ (2 d.p.)}

P(7.5<Y<14.5)=P(0.81<Z<1.46)=Φ(1.46)Φ(0.81)P(7.5<Y<14.5)=P(-0.81<Z<1.46)=\Phi(1.46)-\Phi(-0.81)

From the table, Φ(1.46)=0.9279\Phi(1.46)=0.9279. By symmetry, Φ(0.81)=1Φ(0.81)=10.7910=0.2090\Phi(-0.81)=1-\Phi(0.81)=1-0.7910=0.2090.

P(8X14)0.92790.2090=0.7189P(8\le X\le14)\approx0.9279-0.2090=0.7189

Check: the mean is 1010, and the interval [8,14][8,14] extends about 0.810.81 standard deviations below and 1.461.46 standard deviations above it, so a central probability of roughly 72%72\% is a sensible order of magnitude.

Final answers

  • (a) XN(10,9.5)X\approx N(10,9.5), since np=10>5np=10>5 and nq=190>5nq=190>5
  • (b) P(8X14)0.7189P(8\le X\le14)\approx\boxed{0.7189}