AC9M5ST03 • Year 5 Maths

AC9M5ST03: Plan and conduct statistical investigations by posing questions or identifying a problem and collecting relevant data; choose appropriate displays and interpret the data; communicate findings within the context of the investigation

plan and conduct statistical investigations by posing questions or identifying a problem and collecting relevant data; choose appropriate displays and interpret the data; communicate findings within the context of the investigation

What students learn in AC9M5ST03

Students formulate a statistical question, select a population and variable, distinguish nominal and ordinal categories, collect data fairly, clean and display it, then interpret mode, shape and spread with limitations.

A statistical investigation is a connected cycle in which the question determines the variable, method, display and defensible conclusion.

Nominal categories have no inherent order; ordinal categories have a meaningful order, such as strongly disagree to strongly agree.

Avoid claiming causation or generalising beyond the sample. Digital tools organise and display data but do not fix a biased question or sample.

Learning routine: Represent → Reason → Calculate → Interpret → Verify

Success looks like

  • Construct or represent accurately
  • Use correct vocabulary and notation
  • Interpret relationships
  • Apply to a new example
  • Justify and evaluate
Key vocabulary
nominal data
categories with no inherent order
ordinal data
categories with a meaningful order
spread
extent to which values vary
Concept models and worked thinking

Plan a complete investigation cycle

1QuestionWhat do we want to know?
2Variablenominal, ordinal or discrete?
3Sample/methodwho, how, one response each
4Clean/displaycheck categories and totals
5Interpretmode, shape, spread
6Reportconclusion and limitation

Nominal categories have no inherent order; ordinal categories have a meaningful order, such as strongly disagree to strongly agree.

  1. Read every label and identify the quantities, parts or evidence.
  2. Explain the relationship shown—not just the final answer.
  3. Check the conclusion against the original question and units.

Interpret data in context

featureexample statementmode‘often’ was the most frequent responseshaperesponses concentrated at the higher ratingsspreadratings ranged from 1 to 5limitationone class, voluntary responsesnext questionrepeat across year levels

Avoid claiming causation or generalising beyond the sample. Digital tools organise and display data but do not fix a biased question or sample.

Now transfer the same relationship to a new situation and justify the result with precise vocabulary.

Curriculum coverage and elaborations

Content description: plan and conduct statistical investigations by posing questions or identifying a problem and collecting relevant data; choose appropriate displays and interpret the data; communicate findings within the context of the investigation.

  • E1: posing questions about insect diversity in the playground, collecting data by taping a one-metre-square piece of paper to the playground, and observing the type and number of insects on it over time
  • E2: posing a question or identifying a problem of interest, collecting, interpreting and analysing the data and discussing if the data generated provides the information necessary to answer the questions
  • E3: developing survey questions that are objective, without opinion and have a balanced set of answer choices without bias
  • E4: exploring First Nations Ranger Groups’ and other groups’ biodiversity detection techniques to care for Country/Place, posing investigative questions, collecting and interpreting related data to represent and communicate findings
Guided learning activities

1. Construct and annotate

Build or represent planning statistical investigations and label the features, coordinates, data or outcomes.

1QuestionWhat do we want to know?
2Variablenominal, ordinal or discrete?
3Sample/methodwho, how, one response each
4Clean/displaycheck categories and totals
5Interpretmode, shape, spread
6Reportconclusion and limitation

2. Compare representations

Use a second representation or method and explain what each makes easier to see.

featureexample statementmode‘often’ was the most frequent responseshaperesponses concentrated at the higher ratingsspreadratings ranged from 1 to 5limitationone class, voluntary responsesnext questionrepeat across year levels

3. Investigate and justify

Apply the concept to a new design, data set or chance situation and verify every condition.

Classify nominal/ordinal.Write a statistical question.Identify the mode.Describe spread.
Revision Notes

Core idea: A statistical investigation is a connected cycle in which the question determines the variable, method, display and defensible conclusion.

Remember

  • Construct or represent accurately
  • Use correct vocabulary and notation
  • Interpret relationships
  • Apply to a new example
  • Justify and evaluate

Important questions

  • Classify nominal/ordinal. Explain using the model or evidence above.
  • Write a statistical question. Explain using the model or evidence above.
  • Identify the mode. Explain using the model or evidence above.
  • Describe spread. Explain using the model or evidence above.
  • State a limitation. Explain using the model or evidence above.
How to use this unit

Learn from the Topic Guide and fixed Teacher Slides, complete the Practice Sheet, use Practice for supported feedback, then take the Test when ready.

AC9M5ST03 Teacher Slides

Project the fixed branded slide deck one slide at a time.

Open Classroom View
Common misconceptions
  • Ordinal categories treated as equal numerical intervals — Order is meaningful, but distances may not be.
  • Leading question used — Wording should not push responses.
  • Sample treated as whole population — Limit the conclusion.
  • Software chart chosen automatically — Select a display that fits variable and question.
🎥 Optional Video Lesson

The SkillrHub lesson remains the primary learning resource. This optional video reinforces the explanation; you can complete the lesson and practice without watching.

Back to the lesson

Before you watch:

  • Pause after each worked example.
  • Try the examples yourself.
  • Return to the SkillrHub lesson before continuing.
Recommended: Data and Graphs

Math Antics — Represent collected data clearly as part of a statistical investigation.

As you watch: What information would a reader need to interpret your graph accurately?

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Try it: Investigate how students travel to school: write a question, collect one response per student, then graph and explain the result.

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Curriculum equivalents: Victoria, NSW and international

Curriculum equivalents for Plan and conduct statistical investigations by posing questions or identifying...

Mapped skill: plan and conduct statistical investigations by posing questions or identifying a problem and collecting relevant data; choose appropriate displays and interpret the data; communicate findings within the context of the investigation

These references identify matching or closely related learning. Curriculum sequence, terminology and depth vary, so teachers should use the mapped skill and lesson difficulty to confirm suitability.

RegionCurriculum frameworkClosest level or code
AustraliaAustralian Curriculum v9.0AC9M5ST03 · Year 5
VictoriaVictorian Curriculum F–10 Version 2.0 — MathematicsVC2M5ST03 · Level 5
New South WalesNSW Mathematics K–10 Syllabus (2022)MA3-DATA-01 + MA3-DATA-02 · Stage 3
United States (USA)Common Core State Standards for MathematicsGrade 5
Canada (Ontario)Ontario Curriculum — MathematicsGrade 5
United Kingdom (England)National Curriculum in England — MathematicsYear 6, Key Stage 2
IndiaNCERT / CBSE — MathematicsClass 5

Australian Curriculum v9.0 is the canonical source for this SkillrHub lesson. Victoria and NSW entries name the closest published state codes or outcomes; international entries are planning references rather than claims of identical curricula.

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Topic reference: AC9M5ST03 — AC9M5ST03: Plan and conduct statistical investigations by posing questions or identifying a problem and collecting relevant data; choose appropriate displays and interpret the data; communicate findings within the context of the investigation

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Official curriculum reference
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