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Year 8 · Statistics and sampling · 15 min

Population, census and sample

Identify the intended group and distinguish a census from a sample.

01 / LEARN

The idea, step by step

The group comes first

A population is the entire group a question concerns. Specify people or objects, place and time: “all Year 8 students enrolled here this term” is clearer than “students”. A census aims to collect data from every unit; a sample uses only a subset. The sampling frame is the list or source used to reach that group.

Coverage matters

A class census may be manageable, while inspecting every factory product may be costly or destructive. A sample must be chosen appropriately. The number invited is not necessarily the number who respond. A large sample of only friends does not automatically represent the whole school.

A common trap

Population always means every person in a country.

Instead: A statistical population is the whole group named by the question, including objects or events.

02 / WORKED EXAMPLES

See the thinking

Example 1

Worked example 1

A school has 720 students. A lunch survey asks 90 Year 8 students about the whole school. Identify the population and sample.

  1. The intended population is all 720 students.
  2. The observed subset is the 90 surveyed Year 8 students.
  3. Other year levels are missing from the sample.
Population 720; sample 90; coverage is limited.
Example 2

Worked example 2

A factory inspects 125 of its 2500 bottles made today. What would a census require?

  1. The population is today’s 2500 bottles.
  2. 125 is a sample.
  3. A census would inspect every bottle in that population.
All 2500 bottles.

Check your understanding

Every student in a class of 28 answers a question. Census or sample of that class?

Show answer

Census.

All 28 units in the defined population are included.

03 / WORKSHEET

Your turn

6 questions · 12 marks · Work at your own pace.

Read the questions online
  1. A club interviews 40 of its 160 current members. Identify the population and sample.
    2 marks
  2. Every one of 36 garden trees is measured. Census or sample of those trees?
    1 mark
  3. A survey invites 120 students; 84 reply. What is the response count?
    2 marks
  4. A survey uses library visitors to estimate the views of all registered members. Explain a coverage issue.
    2 marks
  5. Give one reason a census of a 24-student class is practical.
    2 marks
  6. A school samples 20 students from each of six year levels. Find the sample size. Does size alone prove representativeness?
    3 marks
Read the worked solutions

Equivalent correct methods earn the corresponding marks. Include units where asked.

  1. A club interviews 40 of its 160 current members. Identify the population and sample.
    2 marks

    Distinguish the intended whole group from the observed subset.

    Population: all 160 current members; sample: the 40 interviewed.
  2. Every one of 36 garden trees is measured. Census or sample of those trees?
    1 mark

    All 36 trees in the population are measured.

    Census.
  3. A survey invites 120 students; 84 reply. What is the response count?
    2 marks

    Invitations and recorded responses are different; 36 did not respond.

    84.
  4. A survey uses library visitors to estimate the views of all registered members. Explain a coverage issue.
    2 marks

    The visitor frame differs from all registered members.

    Members who rarely visit are not reached by this frame.
  5. Give one reason a census of a 24-student class is practical.
    2 marks

    Including all 24 is manageable and avoids excluding class members.

    The small, accessible group can be reached completely.
  6. A school samples 20 students from each of six year levels. Find the sample size. Does size alone prove representativeness?
    3 marks

    20×6=120.

    Selection and response still matter.

    120; no.
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Observational versus experimental data

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Curriculum reference & lesson scope

Australian Curriculum v9 and SA Curriculum

Population, census and sample; observational versus experimental data; random and non-random sampling; primary/secondary data; reviewing numerical displays and summary statistics; comparing samples and sample sizes; bias, variation and uncertainty; planning, conducting and reporting a fair investigation.

Official curriculum source ↗
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