VC2M5ST01 Official strand: Statistics

From collected data to a useful display

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Validate categories and counts, represent them and discuss their distribution.

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A spreadsheet records a rating of lunchtime activities from very low to very high. What kind of variable is this?

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Answer: Ordinal categorical

  1. The categories have a meaningful order.
  2. Classify what each value means, not how the computer stores it.

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Curriculum reference

Victorian Curriculum F–10 Version 2.0

Pi Leo practice scope

Validate categories and counts, represent them and discuss their distribution.

Read the official VCAA curriculum description (VC2M5ST01)

These quizzes practise concepts within this topic. Multiple-choice answers alone do not demonstrate drawing, conducting an investigation or using a digital tool.

Activities to practise beyond the quiz

  • Supported by the guided activity; selecting an MCQ does not demonstrate this action.
  • Supported by the guided activity; selecting an MCQ does not demonstrate this action.
  • Supported by the guided activity; selecting an MCQ does not demonstrate this action.
  1. VC2M5ST01-C01Start with a question and decide what each row records. A name is a nominal category; an ordered rating is an ordinal category; a count is a discrete number. In a spreadsheet, keep dates, text labels and counts in suitable columns. Check missing entries, duplicates and impossible counts against the original record. A blank is not automatically zero.
  2. VC2M5ST01-C02Keep ordered categories in their natural order. Label categories or numerical values and their frequencies. A mode is a value or category with the greatest frequency. Two or more modes can tie. The frequency is the count; it is not the category name.
  3. VC2M5ST01-C03Look beyond one bar. Are responses concentrated near the middle or at the ends? Are there tied peaks or empty categories? Describe that pattern in the context of the question. Say which group was measured, and report missing data instead of inventing responses.
  4. VC2M5ST01-C04Acquiring and validating nominal/ordinal/discrete data with spreadsheet software; creating displays and reporting distribution shape.
  5. VC2M5ST01-C05Actually collecting observations or survey responses and using spreadsheet software.
  6. VC2M5ST01-C06Creating and communicating an original statistical investigation, rather than selecting an MCQ response.

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Descriptor-derived subskills

  1. D01
    Collect data you can trustStart with a question and decide what each row records. A name is a nominal category; an ordered rating is an ordinal category; a count is a discrete number. In a spreadsheet, keep dates, text labels and counts in suitable columns. Check missing entries, duplicates and impossible counts against the original record. A blank is not automatically zero.
  2. D02
    Choose an honest displayKeep ordered categories in their natural order. Label categories or numerical values and their frequencies. A mode is a value or category with the greatest frequency. Two or more modes can tie. The frequency is the count; it is not the category name.
  3. D03
    Describe the whole patternLook beyond one bar. Are responses concentrated near the middle or at the ends? Are there tied peaks or empty categories? Describe that pattern in the context of the question. Say which group was measured, and report missing data instead of inventing responses.
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