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YEAR 12 · SAMPLING AND CONFIDENCE INTERVALS

Topic review.

Check the key ideas, then put them together independently.

QUICK RECAP

Connect the ideas

State the target population, sampling frame and design.

Sample-mean standard error is population standard deviation divided by the square root of sample size.

Use a justified sampling distribution and distinguish exact from approximate normality.

An interval is an estimate plus or minus critical value times standard error.

Confidence describes repeated coverage of a fixed parameter, not a proportion of individual measurements.

For a data-based proportion interval, use the observed proportion to estimate standard error.

Larger samples usually improve precision but do not cure bias.

Round required sample sizes upwards and report limitations.

Practice tests

Complete each paper and show your working.

  1. Sampling and confidence intervals — Paper 1

    10 questions · 60 marks · 75 minutes · Technology-assisted

    Build from sampling design to normal models, interval estimation and interpretation. Use supplied two-sided critical values: 90% 1.645, 95% 1.96, 98% 2.326 and 99% 2.576. Retain intermediate precision; give final probabilities to four decimal places and state assumptions.

  2. Sampling and confidence intervals — Paper 2

    10 questions · 60 marks · 75 minutes · Technology-assisted

    Interpret study records, recover missing quantities and compare estimation procedures. Use supplied two-sided critical values: 90% 1.645, 95% 1.96, 98% 2.326 and 99% 2.576. Retain intermediate precision; give final probabilities to four decimal places and state assumptions.

  3. Sampling and confidence intervals — Paper 3

    10 questions · 60 marks · 75 minutes · Technology-assisted

    A community transport project combines survey design, estimates and careful reporting. Use supplied two-sided critical values: 90% 1.645, 95% 1.96, 98% 2.326 and 99% 2.576. Retain intermediate precision; give final probabilities to four decimal places and state assumptions.

  4. Sampling and confidence intervals — Paper 4

    10 questions · 60 marks · 75 minutes · Technology-assisted

    Evaluate uncertainty in production and quality-assurance studies. Use supplied two-sided critical values: 90% 1.645, 95% 1.96, 98% 2.326 and 99% 2.576. Retain intermediate precision; give final probabilities to four decimal places and state assumptions.

  5. Sampling and confidence intervals — Paper 5

    10 questions · 60 marks · 75 minutes · Technology-assisted

    Work backwards from intervals and compare precision under different designs. Use supplied two-sided critical values: 90% 1.645, 95% 1.96, 98% 2.326 and 99% 2.576. Retain intermediate precision; give final probabilities to four decimal places and state assumptions.

  6. Sampling and confidence intervals — Paper 6

    10 questions · 60 marks · 75 minutes · Technology-assisted

    Combine model checks, inverse calculations and applied evaluation in a demanding review. Use supplied two-sided critical values: 90% 1.645, 95% 1.96, 98% 2.326 and 99% 2.576. Retain intermediate precision; give final probabilities to four decimal places and state assumptions.

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