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Russel-Research-Method-in-Anthropology

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Sampl<strong>in</strong>g Theory 175<br />

TABLE 7.2<br />

All Samples of 2 from 5 Elements<br />

Sample Mean Cumulative Mean<br />

Gu<strong>in</strong>ea-Bissau and Nepal (100 197)/2 148.5 148.5<br />

Gu<strong>in</strong>ea-Bissau and Moldova (100 374)/2 237.0 385.5<br />

Gu<strong>in</strong>ea-Bissau and Zambia (100 413)/2 256.5 642.0<br />

Gu<strong>in</strong>ea-Bissau and Haiti (100 443)/2 271.5 913.5<br />

Nepal and Moldova (197 374)/2 285.5 1199.0<br />

Nepal and Zambia (197 413)/2 305.0 1504.0<br />

Nepal and Haiti (197 443)/2 320.0 1824.0<br />

Moldova and Zambia (374 413)/2 393.5 2217.5<br />

Moldova and Haiti (374 443)/2 408.5 2626.0<br />

Zambia and Haiti (413 443)/2 428.0 3054.0<br />

x 3054/10 305.4<br />

parameter we want to estimate—is $294.16. There are 2,118,760 samples of<br />

size 5 that can be taken from 50 elements. I used a random-number generator<br />

to select 15 samples of size 5 from the data <strong>in</strong> table 7.1 and calculated the<br />

mean of each sample. Table 7.3 shows the results.<br />

Even <strong>in</strong> this small set of 15 samples, the mean is $284.12—quite close to<br />

the actual mean of $294.16. Figure 7.6a shows the distribution of these samples.<br />

It has the look of a normal distribution stra<strong>in</strong><strong>in</strong>g to happen. Figure 7.6b<br />

shows 50 samples of five from the 50 countries <strong>in</strong> table 7.1. The stra<strong>in</strong> toward<br />

the normal curve is unmistakable and the mean of those 50 samples is $293.98<br />

3<br />

6<br />

5<br />

Number of Cases<br />

2<br />

1<br />

Number of Cases<br />

4<br />

3<br />

2<br />

1<br />

0<br />

0 100 200 300 400 500<br />

0<br />

100 200 300 400 500<br />

a.<br />

PCGDP<br />

b.<br />

Samples of Two<br />

Figure 7.4. Five cases and the distribution of samples of size 2 from those cases.

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