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Russel-Research-Method-in-Anthropology

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180 Chapter 7<br />

What we need is a distribution that is a bit more forgiv<strong>in</strong>g than the normal<br />

distribution. Fortunately, just such a distribution was discovered by W. S. Gossett,<br />

an employee of the Gu<strong>in</strong>ess brewery <strong>in</strong> Ireland. Writ<strong>in</strong>g under the pseudonym<br />

of ‘‘Student,’’ Gossett described the distribution known as Student’s t.<br />

It is based on a distribution that takes <strong>in</strong>to account the fact that statistics calculated<br />

on small samples vary more than do statistics calculated on large samples<br />

and so have a bigger chance of misestimat<strong>in</strong>g the parameter of a cont<strong>in</strong>uous<br />

variable.<br />

The t distribution is found <strong>in</strong> appendix C. Figure 7.7 shows graphically the<br />

-2.571 +2.571<br />

95%<br />

t<br />

z<br />

-5 -4 -3 -2 -1 0 1 2 3 4 5<br />

-1.96 +1.96<br />

Figure 7.7. Variability <strong>in</strong> a t distribution and a normal distribution.<br />

difference <strong>in</strong> the two distributions. In a normal distribution, plus or m<strong>in</strong>us 1.96<br />

sd covers 95% of all sample means. In a t-distribution, with 5 degrees of freedom,<br />

it takes 2.571 sd to cover 95% of all sample means.<br />

The confidence <strong>in</strong>terval for small samples, us<strong>in</strong>g the t distribution is given<br />

<strong>in</strong> formula 7.3:<br />

Confidence Interval x t /2n sd Formula 7.3<br />

where alpha (α) is the confidence <strong>in</strong>terval you want. If you want to be 95%<br />

confident, then α .05. S<strong>in</strong>ce half the scores fall above the mean and half<br />

below, we divide alpha by two and get .025.

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