RReal Randomizer
Sampling & DataBy Real Randomizer Editorial

Simple Random Sampling: A Practical Checklist

Use this short checklist to select an unbiased sample from a spreadsheet, survey list or QA dataset.

Simple Random Sampling: A Practical Checklist featured image

Define the population

The population is the complete set from which the sample is drawn. Missing records cannot be selected, so check that the source includes every eligible row and excludes ineligible rows.

Give each row one chance

Use one line per unit. Remove duplicated rows unless duplicates represent genuinely separate units. Keep a stable identifier so a selected record can be traced back to the source.

Choose the sample size before drawing

Changing the size after seeing results can introduce judgment into the process. Record the planned count or percentage, then run one draw without replacement.

Save the evidence you need

For informal work, copying the selected IDs may be enough. Audited or scientific studies may require a documented seed, versioned source data and a reproducible statistical package.

For everyday checks, paste rows into the Random Sample Generator. When you only need non-repeating integers, use the Unique Random Number Generator.

Tags:#sampling#spreadsheets#quality assurance
View topic →

Tools to try next

Ready to try a randomizer?

Open the complete toolbox for numbers, names, groups, games, and everyday choices.

Browse all tools