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Russel-Research-Method-in-Anthropology

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Univariate Analysis 567<br />

TABLE 19.5<br />

Calculat<strong>in</strong>g the Mean for the Data <strong>in</strong> Table 19.3b<br />

Count (f) AGE (x) fx<br />

1 20 20<br />

1 21 21<br />

2 24 48<br />

2 25 50<br />

1 31 31<br />

1 34 34<br />

1 35 35<br />

1 37 37<br />

2 38 76<br />

1 41 41<br />

2 46 92<br />

1 47 47<br />

1 49 49<br />

1 51 51<br />

1 52 52<br />

3 53 159<br />

1 54 54<br />

1 56 56<br />

1 57 57<br />

1 60 60<br />

2 67 134<br />

1 69 69<br />

1 78 78<br />

fx 1,351<br />

fx/n 1,351/30 45.033<br />

Calculat<strong>in</strong>g the Mean of Grouped Data<br />

Table 19.6 shows the calculation of the mean for the grouped data on AGE<br />

<strong>in</strong> table 19.4. When variable attributes are presented <strong>in</strong> ranges, as <strong>in</strong> the case<br />

here, we take the midpo<strong>in</strong>t of the range.<br />

Note the problem <strong>in</strong> tak<strong>in</strong>g the mean of the grouped data <strong>in</strong> table 19.6. If<br />

you go back to table 19.3b, you’ll see that all six of the people who are<br />

between 20 and 29 are really between 20 and 25. Count<strong>in</strong>g them all as be<strong>in</strong>g<br />

25 (the midpo<strong>in</strong>t between 20 and 29) distorts the mean.<br />

Also, there are five people over 60 <strong>in</strong> this data set: one who is 60, two who<br />

are 67, and one each who are 69 and 78. Their average age is 68.2, but they<br />

are all counted as be<strong>in</strong>g just 60 <strong>in</strong> table 19.4. In calculat<strong>in</strong>g the mean for

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