Lesson Plan

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Lesson Plan
Grade: Date: 17/01/2026
Subject: Business
Lesson Topic: analysis of quantitative and qualitative data
Learning Objective/s:
  • Describe the differences between quantitative and qualitative market research data.
  • Apply appropriate statistical tools to calculate and interpret descriptive measures for quantitative data.
  • Conduct thematic coding to identify key themes in qualitative responses.
  • Integrate quantitative results with qualitative insights to formulate actionable business recommendations.
  • Evaluate common pitfalls in data analysis and propose strategies to avoid them.
Materials Needed:
  • Projector or interactive whiteboard
  • Laptop with spreadsheet software (Excel/Google Sheets)
  • Sample market research dataset (printed or digital)
  • Worksheets for coding qualitative data
  • Calculator
  • Sticky notes or index cards for theme grouping
 Introduction:
Begin with a quick poll: how many of you have ever interpreted a survey result? Review previous lessons on market research methods and set the success criteria: students will accurately analyse both numeric and narrative data and produce a concise recommendation.
Lesson Structure:
  1. Do‑now (5’) – Examine a short printed dataset and identify whether each variable is quantitative or qualitative.
  2. Mini‑lecture (10’) – Overview of key statistical tools and thematic analysis techniques, using examples from the smartwatch survey.
  3. Guided practice (15’) – In pairs, calculate mean, median, mode and create a bar chart in Excel; then code a set of interview excerpts into themes.
  4. Whole‑class discussion (10’) – Groups share visualisations and themes, discuss how the findings explain each other, and note any outliers or biases.
  5. Application activity (15’) – Complete a worksheet that integrates the quantitative summary and qualitative themes to draft a brief business recommendation.
  6. Check for understanding (5’) – Exit ticket: one sentence stating the most important insight from the data and the recommended action.
Conclusion:
Summarise how the quantitative percentages highlighted purchase intent while the qualitative themes explained the underlying reasons. Students submit their exit ticket, reflect on one area to improve, and for homework they will analyse a new mini‑survey using the same steps and prepare a one‑page report.