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The Quick Count and Election Observation

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THE QUICK COUNT AND ELECTION OBSERVATION<br />

attributable to the role of the sample size in constructing the margin of error.<br />

Recall that the formula for margin of error is:<br />

77<br />

(Assumed heterogeneity) * (z value at chosen confidence level)<br />

√n<br />

<strong>The</strong> fact is that variations in the size of polling station will also affect the ‘n.’<br />

VOTERS POLLING STATIONS<br />

If station size<br />

is 160<br />

If station size<br />

is 200<br />

If station size<br />

is 500<br />

Sample 163,185 1,020 816 324<br />

FIGURE 5-5:<br />

SAMPLE SIZE AND MARGINS<br />

OF ERROR<br />

Margin of error<br />

(95% confidence level)<br />

Margin of error<br />

(99% confidence level)<br />

±0.24 ±3.01 ±3.43 ±5.4<br />

±0.32 ±4.03 ±4.5 ±7.1<br />

Notice that the margin of error depends on the number of polling stations in<br />

the sample. If the polling stations are large, fewer of them are needed to generate<br />

the desired sample of 163,185 voters. <strong>The</strong> margin of error calculated for<br />

the polling stations is larger than the margin of error calculated for the sample<br />

of voters. <strong>The</strong> resulting margin of error for quick counts falls somewhere<br />

in between the lower <strong>and</strong> higher margin of error.<br />

Tracking the changes to the margin of error for a range of polling station sizes<br />

shows that, as the number of stations needed to form a sample of voters<br />

decreases, the margin of error increases. Figure 5-6 illustrates the relationship<br />

between the size of the polling station <strong>and</strong> the margin of error.<br />

As the number of stations<br />

need to form a<br />

sample of voters<br />

decreases, the margin<br />

of error increases.<br />

VOTERS/<br />

STATION<br />

# STATIONS TO<br />

GET SAMPLE<br />

MARGIN OF ERROR<br />

(confidence levels)<br />

FIGURE 5-6:<br />

POLLING STATION SIZE<br />

AND MARGIN OF ERROR<br />

95% 99%<br />

150 1,088 ±2.97 ±3.91<br />

200 816 ±3.43 ±4.52<br />

250 653 ±3.84 ±5.05<br />

300 544 ±4.20 ±5.53<br />

350 466 ±4.54 ±5.97<br />

400 408 ±4.85 ±6.39<br />

450 363 ±5.14 ±6.77<br />

500 327 ±5.42 ±7.13

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