Investigation types

Classify a statistical question as a summary, comparison, relationship, or time-series investigation, and classify the data involved as qualitative/quantitative, discrete/continuous, and primary/secondary.

All resources Download All ⬇

Te reo Māori terms

click each term to open in Te Aka

Learning objective overview

Master Teaching Guide coverage for this objective.

Resources

Terminology

  • Summary investigation
  • Comparison investigation
  • Relationship investigation
  • Time-series investigation
  • Qualitative data
  • Quantitative data
  • Discrete data
  • Continuous data
  • Primary data
  • Secondary data

Task goals

  • Name and describe each of the four investigation types (summary, comparison, relationship, time-series).
  • Classify a given research scenario or statistical question by its investigation type, and justify the classification.
  • Match each investigation type to the graph or display best suited to it (single-variable display for summary, box-and-whisker/side-by-side for comparison, scatter plot for relationship, line/time-series graph for time-series).
  • Classify a given variable as qualitative or quantitative, and as discrete or continuous, explaining the reasoning (including edge cases like ordinal rating scales or measurements rounded to whole numbers).
  • Classify a data source as primary or secondary, and explain the trade-offs of using secondary data (convenience and cost vs fit and reliability).
  • Recognise that a real investigation can combine more than one type (e.g. tracking two groups over time combines time-series and comparison), and explain why choosing the wrong investigation type or display can mislead.

Key skills

  • Investigation types
  • Types of data
  • Qualitative quantitative
  • Discrete continuous
  • Primary secondary

Quick stats

  • 0 total questions
  • 3 difficulty levels
  • Answers included
Tasks coming soon Open solutions PDF
Tasks coming soon Open solutions PDF
Tasks coming soon Open solutions PDF