Year 5 Mathematics · AC9M5ST01

Acquire, validate and represent data for nominal and ordinal categorical and discrete numerical variables, to address a question of interest or purpose using software including spreadsheets

acquire, validate and represent data for nominal and ordinal categorical and discrete numerical variables, to address a question of interest or purpose using software…

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Learning goalsSay it simply

Students distinguish variable types, collect and clean data, identify the mode and describe clusters, gaps, spread and possible extremes in relation to the question.

The collection method, variable type and measurement precision determine what conclusions the data can support.

Discrete data are counted; continuous data are measured and can take values between recorded points depending on precision.

The mode is the most frequent value or category. Describe concentration and spread in context without implying cause.

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 conceptTeach from the board

Distinguish three variable types

typeexamplepossible valuescategoricaltransport modewalk, bus, cardiscrete numericalnumber of siblings0,1,2,3…continuous numericalheightany measured value in range

Discrete data are counted; continuous data are measured and can take values between recorded points depending on precision.

  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 mode and distribution shape

1130
3135
7140
8145
4150
2155

The mode is the most frequent value or category. Describe concentration and spread in context without implying cause.

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

Clean visual examplesOne-page board

Clean one-page examples

AC9M5ST01 - Acquire, validate and represent data for nominal and ordinal categorical and discrete numerical variables, to address a question of interest or purpose using software including spreadsheets; discuss and report on data distributions in terms of highest frequency (mode) and shape, in the context of the data
Example 1

type example possible values categorical transport mode walk, bus, car discrete numerical number of siblings 0,1,2,3… continuous numerical height any measured value in range

Example 2

type example possible values categorical transport mode walk, bus, car discrete numerical number of siblings 0,1,2,3… continuous numerical height any measured value in range

Example 3

Classify a variable. Find a mode. Describe a cluster. Check measurement precision.

Example 4

Distinguish three variable types type example possible values categorical transport mode walk, bus, car discrete numerical number of siblings 0,1,2,3… continuous numerical height any measured value in range Discrete data are counted; continuous data are measured and can take values between recorded points depending on precision. Read every label and identify the quantities, parts or evidence. Explain the relationship shown—not just the final answer. Check the conclusion against the original question and units.

Curriculum examplesCopied content

Content description: acquire, validate and represent data for nominal and ordinal categorical and discrete numerical variables, to address a question of interest or purpose using software including spreadsheets; discuss and report on data distributions in terms of highest frequency (mode) and shape, in the context of the data.

  • E1: recognising that ordinal data is a form of categorical data even though the data being collected might be numbers; for example, a rating scale using numbers 1 - 5 to represent the categories people can choose from when asked, “What rating would you give this film out of 5?”
  • E2: determining the mode for a set of data and discussing that there may be more than one mode
  • E3: identifying the best methods of presenting data to illustrate the results of investigations and justifying the choice of representations
  • E4: acquiring data through chance experiments, discussing and reporting on the distribution of outcomes and how this relates to equal and unequal outcomes
  • E5: using digital systems to validate data; for example, recognising the difference between numerical, text and date formats in spreadsheets; setting data types in a spreadsheet to make sure a date is input correctly
  • E6: exploring how travel and online shopping websites and apps collect ordinal data from users to provide customer satisfaction and popularity ratings, and how they use recommendation algorithms to assist customers in travel planning or retail purchasing
  • E7: investigating data relating to Australia’s reconciliation process with First Nations Australians, posing questions, discussing and reporting on findings
Questions and answersWith answers

Core idea: The collection method, variable type and measurement precision determine what conclusions the data can support.

Remember

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

Important questions

  • Classify a variable. Explain using the model or evidence above.
  • Find a mode. Explain using the model or evidence above.
  • Describe a cluster. Explain using the model or evidence above.
  • Check measurement precision. Explain using the model or evidence above.
  • Name a cleaning step. Explain using the model or evidence above.
Practice and reviewReady for practice
  • All numbers called continuous — Counts remain discrete even when large.
  • Mode assumed to exist uniquely — A data set may have several modes or none.
  • Shape described without context — State what the values represent.
  • Digital collection accepted without cleaning — Check duplicates, missing values and units.

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

Curriculum alignmentStart here

Students distinguish variable types, collect and clean data, identify the mode and describe clusters, gaps, spread and possible extremes in relation to the question.

The collection method, variable type and measurement precision determine what conclusions the data can support.

Discrete data are counted; continuous data are measured and can take values between recorded points depending on precision.

The mode is the most frequent value or category. Describe concentration and spread in context without implying cause.

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
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