Data and its collection

Worked examples (9)

• 1Defining the population in a given situation
• 2Naming the sampling method from a description
• 3Deciding between a census and a sample
• 4Calculating the numbers for a stratified sample
• 5Finding the interval for a systematic sample
• 6Showing whether a sample is representative
• 7Explaining why a sampling method is biased
• 8A stratified sample when the numbers do not divide exactly
• 9Choosing a method when no sampling frame exists

Model answers (9)

• ✓Model answer — 0479 specimen Paper 2 Q2(a) style — 1.1
• ✓Model answer — 0479 specimen Paper 1 Q10(d) — 1.2
• ✓Model answer — 0479 Paper 1 style — 1.1
• ✓Model answer — 0479 Paper 2 style — 1.3
• ✓Model answer — 0479 Paper 1 style — 1.2
• ✓Model answer — 0479 Paper 2 style — 1.2 / 1.4
• ✓Model answer — 0479 Paper 1 style — 1.2 (AO2 justification strand)
• ✓Model answer — 0479 Paper 2 style — 1.2 (AO2 justification strand)
• ✓Model answer — 0479 Paper 1 style — 1.3 (AO2)

Worked examples (9)

• 1Numbering the population and choosing the digit width
• 2A simple random sample using the discard rules
• 3Calculating the systematic sampling interval
• 4Simple random sample of six from thirty
• 5Systematic sample of six from thirty
• 6A stratified sample in two stages
• 7Stratified selection from a single numbering, with quotas filling up
• 8Showing whether a given sample is representative
• 9Rejecting invalid starting numbers, and why it matters

Model answers (9)

• ✓Model answer — 0479 specimen Paper 2 Q2(b)(i) — 1.4
• ✓Model answer — 0479 Paper 1 style — 1.4
• ✓Model answer — 0479 Paper 2 style — 1.4
• ✓Model answer — 0479 specimen Paper 2 Q2(b)(ii) — 1.4
• ✓Model answer — 0479 Paper 1 style — 1.4
• ✓Model answer — 0479 Paper 2 style — 1.4
• ✓Model answer — 0479 Paper 2 style — 1.4
• ✓Model answer — 0479 Paper 1 style — 1.4
• ✓Model answer — 0479 Paper 2 style — 1.4 (AO2)

Worked examples (9)

• 1Classifying survey questions as open or closed
• 2Naming the type used and explaining why
• 3Stating an advantage and a disadvantage
• 4Converting an open question into a closed one
• 5Choosing the question type for a stated purpose
• 6When a closed question goes wrong
• 7Comparing both types and making a recommendation
• 8Using both types in one questionnaire
• 9Why closed responses can be charted and open ones cannot

Model answers (9)

• ✓Model answer — 0479 specimen Paper 1 Q10(e) — 1.5
• ✓Model answer — 0479 Paper 1 style — 1.5
• ✓Model answer — 0479 Paper 2 style — 1.5
• ✓Model answer — 0479 Paper 1 style — 1.5
• ✓Model answer — 0479 Paper 2 style — 1.5
• ✓Model answer — 0479 Paper 1 style — 1.5
• ✓Model answer — 0479 Paper 2 style — 1.5 (AO2)
• ✓Model answer — 0479 Paper 1 style — 1.5 (AO2)
• ✓Model answer — 0479 Paper 2 style — 1.5

Worked examples (9)

• 1Sorting variables into qualitative and quantitative
• 2Deciding discrete or continuous
• 3Describing the type of data fully
• 4Numbers that are not quantitative data
• 5Pairs that look alike but classify differently
• 6Rounded measurements are still continuous
• 7Classifying every variable in a survey
• 8Why the classification decides which diagram you may draw
• 9Classifying with a reason when the case is not clear-cut

Model answers (9)

• ✓Model answer — 0479 specimen Paper 2 Q1 — 1.6
• ✓Model answer — 0479 Paper 1 style — 1.6
• ✓Model answer — 0479 Paper 2 style — 1.6
• ✓Model answer — 0479 Paper 1 style — 1.6
• ✓Model answer — 0479 Paper 2 style — 1.6
• ✓Model answer — 0479 Paper 1 style — 1.6
• ✓Model answer — 0479 Paper 2 style — 1.6 (AO2)
• ✓Model answer — 0479 Paper 1 style — 1.6 (AO2, links to Topics 2 and 3)
• ✓Model answer — 0479 Paper 2 style — 1.6