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Enumerating a finite sampling distribution

A four-unit finite population makes the sample-mean distribution and its variance inspectable without simulation.

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Specify the population and design

The fixed labelled values are 2, 4, 6 and 8, whose population mean is 5. Select two distinct units by simple random sampling without replacement. The six unordered subsets each have probability 1/6.

Calculate each sample mean

All six equally likely samples
Unit labelsObserved valuesSample mean
1 and 22 and 43
1 and 32 and 64
1 and 42 and 85
2 and 34 and 65
2 and 44 and 86
3 and 46 and 87

Combine identical estimator outcomes

Two distinct samples produce mean 5, so that outcome has probability 2/6. Means 3, 4, 6 and 7 each have probability 1/6. A sampling distribution concerns the calculated statistic, while a sample table concerns selected units.

00.16670.3333357Sample meanProbability00.16670.3333357Sample meanProbability
Exact distribution of the size-two sample mean

Every size-two subset is equally likely; the chart combines subsets that produce the same mean. This is an illustrative example.

View the chart values
Exact distribution of the size-two sample mean: underlying values
SeriesSample meanProbability
Probability30.16666667
Probability40.16666667
Probability50.33333333
Probability60.16666667
Probability70.16666667

Reconcile the exact moments

The expected sample mean is 5. The variance is [4 + 1 + 0 + 0 + 1 + 4]/6 = 5/3. The finite-population S² is 20/3, so (1 − 2/4) × (20/3)/2 also gives 5/3. With two independent replacement draws, the value-distribution variance 5 instead gives mean variance 5/2.

Further references