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Developmental psychology.pdf

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Technology and Statistics 523<br />

о<br />

ф<br />

3<br />

сг<br />

Ц.<br />

1000-<br />

900-<br />

800-<br />

700-<br />

600-<br />

500-<br />

400-<br />

300-<br />

200-<br />

100-<br />

0-<br />

ETAOSINRHLDCUMYBPWFGVKJXQZ<br />

Letters<br />

Figure 19.10<br />

Letter Usage. This graph represents<br />

the average scores from the four<br />

samples in the survey. To make<br />

comparisons easier, all totals were<br />

proportionately raised to the base of<br />

one thousand for E, the most<br />

common letter (Hoke, 1922).<br />

These data showed that the letters are used with very different frequencies.<br />

The letter E is employed more often than twelve other letters of the alphabet combined.<br />

The six most common letters account for more than half of all letter usage, as is readily<br />

apparent in a graphic display (Figure 19.10).<br />

Numerical Data The next step, after determining the work, was to measure the<br />

workers' capabilities, and the investigators in this instance focused only on finger<br />

dexterity, assuming adequate mental skills. Adult males and females were tested by<br />

having them tap in various ways on the machine and on a table, with the wrist stationary.<br />

The first question concerned the typical scores, and therefore the mean tapping<br />

rate was calculated for all eight fingers, excluding the thumbs. The right index<br />

finger was found most capable, followed by the left index finger. Next were the middle<br />

fingers, then the little fingers, and finally the ring fingers, with the right fingers superior<br />

to the left in each instance (Hoke, 1922).<br />

Then came the question of variability. How consistent were the different fingers?<br />

Was one more variable than another? It turned out that consistency was not an<br />

issue. The standard deviations showed no significant variation among the fingers<br />

(Figure 19.11).<br />

In describing a set of scores, the mean and standard deviation are generally<br />

reported together, conveying information about central tendency and variability. In the<br />

case of finger ability, the fingers differed in mean rate but not in variability of tapping<br />

rate. No one of them was markedly more variable, or less predictable, than the others.<br />

Finger Mean S.D.<br />

Right index<br />

Left index<br />

Right middle<br />

Left middle<br />

Right little<br />

Left little<br />

Right ring<br />

Left ring<br />

161.2<br />

149.9<br />

134.3<br />

120.8<br />

114.8<br />

105.9<br />

101.4<br />

98.6<br />

25.0<br />

24.6<br />

25.9<br />

26.0<br />

27.5<br />

29.7<br />

29.9<br />

25.5<br />

Figure 19.11<br />

Finger Abilities. The fingers are<br />

ranked from fastest to slowest<br />

according to mean rate of tapping.<br />

There are relatively small differenceb<br />

in variability, as indicated by the<br />

standard deviations (Hoke, 1922)

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