Reusable frameworks

4 Probability Sampling Templates

Start with structure, then replace every placeholder with information that is true, relevant, and natural for your context. These templates are intentionally skeletal so your final writing does not sound mass-produced.

Use the framework

How to personalize a template

A strong probability-sampling plan defines the frame, randomization procedure, selection probabilities, strata or clusters when used, and any weighting needed to recover population estimates.

  1. 1
    Choose the template closest to your actual purpose.
  2. 2
    Replace every bracketed field with specific information.
  3. 3
    Delete any sentence that does not belong in your situation.
  4. 4
    Read the result aloud for unnatural transitions or repeated phrasing.
  5. 5
    Verify names, dates, links, facts, and promises before sending or publishing.
Probability Sampling Template 1
Design statement: We selected [n] units using [probability method] from [frame], with selection probability [rule].
Probability Sampling Template 2
Stratified plan: Divide the frame by [stratum], choose [allocation rule], then sample randomly within each stratum.
Probability Sampling Template 3
Weighting note: Analysis weight = [inverse selection probability] × [nonresponse adjustment if used].
Probability Sampling Template 4
Reproducibility note: Selection used [software/procedure] with seed [seed] on [date/versioned frame].