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Russel-Research-Method-in-Anthropology

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176 Chapter 7<br />

12<br />

10<br />

Number of Cases<br />

8<br />

6<br />

4<br />

2<br />

0<br />

0 100 200 300 400 500 600<br />

PCGDP of 50 Poorest Countries<br />

Figure 7.5. The distribution of the 50 data po<strong>in</strong>ts for GDP <strong>in</strong> Table 7.1.<br />

(standard deviation 37.44)—very close to the parameter of $294.16 that we’re<br />

try<strong>in</strong>g to estimate.<br />

The problem, of course, is that <strong>in</strong> real research, we don’t get to take 15 or<br />

50 samples. We have to make do with one. The first sample of five elements<br />

that I took had a mean of $305.40—pretty close to the actual mean of $294.16.<br />

But it’s very clear from table 7.3 that any one sample of five elements from<br />

table 7.1 could be off by a lot. They range, after all, from $176.40 to $342.200.<br />

That’s a very big spread, when the real average we’re try<strong>in</strong>g to estimate is<br />

$294.16.<br />

Figure 7.6c shows what happens when we take 30 random samples of size<br />

30 from the 50 elements <strong>in</strong> table 7.1. Not only is the distribution pretty normal<br />

look<strong>in</strong>g, the range of the 30 samples is between $259.88 and $321.73, the stan-<br />

TABLE 7.3<br />

15 Means from Samples of Size 5 Taken from the 50 Elements <strong>in</strong> Table 7.1<br />

Mean 284.12<br />

Standard Deviation 50.49<br />

340.00 342.20 319.20<br />

322.00 322.00 254.60<br />

245.00 245.00 329.00<br />

305.40 306.00 205.40<br />

176.40 265.00 283.40

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