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Paper 4 (9164, Section A) · June 2008 · Confidence Intervals

The diameters of 25 steel rods have a sample mean of 0.980 cm and a standard deviation of 0.015 cm. Assuming the diameters are normally distributed with this standard deviation, find the 99% confidence interval for the population mean diameter.

A(0.9730, 0.9870)(0.9730,\ 0.9870) cm
B(0.9741, 0.9859)(0.9741,\ 0.9859) cm
C(0.9723, 0.9877)(0.9723,\ 0.9877) cm
D(0.9414, 1.0186)(0.9414,\ 1.0186) cm

Explanation

The 99% CI is xˉ±z0.005⋅sn\bar{x} \pm z_{0.005}\cdot\frac{s}{\sqrt n} with z0.005=2.576z_{0.005}=2.576, s=0.015s=0.015, n=25n=25. The margin is 2.576×0.01525=2.576×0.003=0.007732.576\times\frac{0.015}{\sqrt{25}}=2.576\times0.003=0.00773, giving (0.980−0.00773, 0.980+0.00773)=(0.9723, 0.9877)(0.980-0.00773,\,0.980+0.00773)=(0.9723,\,0.9877) cm. Using the 95% multiplier z=1.96z=1.96 instead of the 99% value gives the first option. Forgetting to divide the standard deviation by n\sqrt n before multiplying by zz gives the much wider third option. Using the one-tailed 99% value z=2.326z=2.326 instead of the two-tailed z0.005=2.576z_{0.005}=2.576 gives the fourth option.

Derived from ZIMSEC Maths Paper 1, June 2008, Q1 (Statistics)

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