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EXERCISES 191<br />

2. Estimates of may be available from previous or similar studies.<br />

3. If it is thought that the population from which the sample is to be drawn is approximately<br />

normally distributed, one may use the fact that the range is approximately<br />

equal to six standard deviations and compute s L R>6. This method<br />

requires some knowledge of the smallest and largest value of the variable in the<br />

population.<br />

EXAMPLE 6.7.1<br />

s 2<br />

A health department nutritionist, wishing to conduct a survey among a population of<br />

teenage girls to determine their average daily protein intake (measured in grams), is seeking<br />

the advice of a biostatistician relative to the sample size that should be taken.<br />

What procedure does the biostatistician follow in providing assistance to the nutritionist<br />

Before the statistician can be of help to the nutritionist, the latter must provide<br />

three items of information: (1) the desired width of the confidence interval, (2) the level<br />

of confidence desired, and (3) the magnitude of the population variance.<br />

Solution:<br />

Let us assume that the nutritionist would like an interval about 10 grams<br />

wide; that is, the estimate should be within about 5 grams of the population<br />

mean in either direction. In other words, a margin of error of 5 grams<br />

is desired. Let us also assume that a confidence coefficient of .95 is decided<br />

on and that, from past experience, the nutritionist feels that the population<br />

standard deviation is probably about 20 grams. The statistician now has the<br />

necessary information to compute the sample size: z = 1.96, s = 20, and<br />

d = 5. Let us assume that the population of interest is large so that the statistician<br />

may ignore the finite population correction and use Equation 6.7.3.<br />

On making proper substitutions, the value of n is found to be<br />

n = 11.9622 1202 2<br />

152 2<br />

= 61.47<br />

The nutritionist is advised to take a sample of size 62. When calculating<br />

a sample size by Equation 6.7.3 or Equation 6.7.5, we round up<br />

to the next-largest whole number if the calculations yield a number that<br />

is not itself an integer.<br />

■<br />

EXERCISES<br />

6.7.1 A hospital administrator wishes to estimate the mean weight of babies born in her hospital. How<br />

large a sample of birth records should be taken if she wants a 99 percent confidence interval that<br />

is 1 pound wide Assume that a reasonable estimate of s is 1 pound. What sample size is required<br />

if the confidence coefficient is lowered to .95<br />

6.7.2 The director of the rabies control section in a city health department wishes to draw a sample from<br />

the department’s records of dog bites reported during the past year in order to estimate the mean

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