Te reo Māori terms
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Master Teaching Guide coverage for this objective.
Resources
- CensusAtSchool NZ - Sampling variation: developing big ideas for sample-to-population inferencesQuestions PDF · Answers
Terminology
- Sample
- Population
- Sampling variation
- Sample size
- Random sample
- Estimate
- Sampling distribution
Task goals
- Explain what sampling variation is: repeated random samples from the same population give different (but not wildly different) estimates.
- Compare the expected amount of sampling variation for sample sizes of 30, 100, and 1000, and explain why larger samples give more stable estimates.
- Judge whether a difference between two sample results is consistent with ordinary sampling variation, or suggests a problem with the sampling process.
- Explain why a single sample result should not be treated as the exact population value.
- Distinguish sampling variation (natural spread between random samples) from bias (a systematic error in how a sample is selected).
- Reason about a set of repeated sample results to judge the underlying sample size or the reliability of an estimate.
Key skills
- Sampling
- Variation
Quick stats
- 81 total questions
- 3 difficulty levels
- Answers included
For teachers
Need the fuller teaching notes for this objective? Open the Teacher guidance PDF.