Normal Distribution
nothing is called 95% until it has been counted
Concept

Binomial distribution — where it appears

The distribution of the number of successes in a fixed number of independent trials that each succeed with the same probability. It is what counts misses in a validation sample or events in a trial arm, and its tail gives exact rather than approximate error rates for a count.

Named by 2 essays across one field — each of them below, with the objects they name alongside it.

Also named here as quality control — the same set of essays touches all of them, so they are one junction rather than several.

The band that allows at most r of the next m observations outside it, 95% of the time, from a sample of ten. At a hundred future observations the band that holds all of them has factor 4.942; allowing one outside, 4.289; two, 3.948; five, 3.378. The tolerance factors for 99% and 95% content are 4.445 and 3.382.

A band allowed a few misses

From ten observations, a band holding every one of the next hundred with 95% probability reaches 4.942 sample standard deviations either side of the mean. Allowing one of the hundred outside brings it to 4.289; allowing five, to 3.378 — the 95%-content tolerance factor, 3.382, to within half a hundredth. The tolerance interval turns out to be the limit of a promise about a share of failures. And the misses arrive together: when this band misses once, it misses again 45.4% of the time, where independent misses at the same rate would do so 12.5%.

estimated · Bands How many observations a band from a sample's extremes needs to let at most r of the next 100 outside, 95% of the time, for any population. From the sample's smallest and largest: none of the next 100 outside needs 3,850 observations, at most one 637, at most five 107 and at most ten 50. From the second smallest and second largest, 7,750, 1,204, 187 and 85.

A range allowed a few misses

Without assuming a shape, the band a sample can offer is its own smallest and largest values, and the number of future draws falling outside it is beta-binomial for every continuous population. A promise that at most one of the next hundred lands outside, with 95% probability, then needs 637 observations; none of the hundred, 3,850; at most five, 107. The normal-theory band keeps the one-in-a-hundred promise from ten. On normal data, at the sizes the range needs, it is only 6% wider than the normal band at the same size — the price of dropping the assumption is paid in observations, not in width — and its misses cluster far less than a band from ten: a second follows a first 19.7% of the time, against 45.4%.

estimated · Bands

Named alongside it

The objects these essays reach for when they reach for this one.

Prediction intervalQuality controlSample sizeTolerance intervalCoverageDistribution-freeEstimated varianceExchangeabilityOrder statisticSimultaneous inference

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