Sizing a poll for a yes/no split is one thing; pinning down an average ā wait time, basket size, blood pressure ā is another. Here the lever isn't the proportion, it's the spreadThe standard deviation of the individual values: how spread out they are. Wider spread needs a bigger sample to average out to the same precision. of the values. Feed in how varied they are and how tight a band you want, and read off the sample it takes ā or run it backwards.
Enough to estimate the average to within ±2 units ā 98 to 102 ā at 95% confidence, given a spread of 15.
| Margin | Measurements |
|---|---|
| ±4 | 55 |
| ±2chosen | 217 |
| ±1 | 865 |
| ±0.5 | 3,458 |
Precision costs by the square: the sample grows with (spread ÷ margin)², so halving the band quadruples the measurements. Tightening the last little bit is always the expensive part.
Already collected the data? See the margin it buys ā