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Paper 4 · normal distribution / linear combinations

A factory produces two types of nut and bolt with independent, normally distributed masses, each with standard deviation 0.2 g. Type A bolts have mean 20.5 g and Type A nuts have mean 5 g; Type B bolts have mean 20 g and Type B nuts have mean 4.7 g. Each bolt is fitted with two nuts. What is the probability that the total mass of a Type A bolt-and-nuts unit is greater than the total mass of a Type B bolt-and-nuts unit?

A0.9880.988
B0.9940.994
C0.9970.997
D0.9990.999
Explanation: Let DD = (Type A total) - (Type B total). Mean(D)=30.529.4=1.1(D) = 30.5-29.4=1.1 g. Since each total sums 3 independent components each with variance 0.22=0.040.2^2=0.04, Var(D)=6(0.04)=0.24\text{Var}(D) = 6(0.04) = 0.24, so sd(D)=0.240.490\text{sd}(D)=\sqrt{0.24}\approx0.490. P(D>0)=P(Z>1.10.490)=P(Z>2.245)0.988P(D>0) = P\left(Z > \dfrac{-1.1}{0.490}\right) = P(Z>-2.245) \approx 0.988. Using only the two nut variances and forgetting the bolt variance gives sd=0.16=0.4\text{sd}=\sqrt{0.16}=0.4 and z=2.75z=2.75, i.e. 0.9970.997. Halving the variance by forgetting to add both sides' contributions gives sd=0.120.346\text{sd}=\sqrt{0.12}\approx0.346 and z3.18z\approx3.18, i.e. 0.9990.999. Rounding 0.24\sqrt{0.24} to 0.440.44 gives z=2.5z=2.5, i.e. 0.9940.994.

Derived from ZIMSEC Maths Paper 1, June 2007, Q2 (Statistics)

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