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Systematic sampling and a periodic list

The same unit inclusion probabilities can produce very different sample-mean variances.

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Write the ordered list

Eight labelled values alternate 10, 30, 10, 30, 10, 30, 10, 30. The finite population mean is 20. Select four units by choosing start 1 or 2 uniformly and taking every second position.

List the two systematic samples

Systematic outcomes
StartSelected positionsMeanProbability
11,3,5,7101/2
22,4,6,8301/2

Calculate the actual design variance

The estimator expectation is 20. Its variance is 0.5 × (10 − 20)² + 0.5 × (30 − 20)² = 100. Every unit nevertheless has inclusion chance 1/2. For a size-four simple random sample without replacement, S² = 800/7 and mean variance is (1 − 4/8)(800/7)/4 = 100/7 ≈ 14.2857.

Avoid a universal ranking from this counterexample

The illustration shows how a particular periodic order harms this systematic design. A different ordering can produce different behavior. It does not prove that systematic sampling is always less precise. Inspect the actual ordered frame and allowed samples instead of using a method label as a guarantee.

Further references