Lesson Plan

• Describe methods for collecting qualitative and quantitative data.
• Construct and interpret tables, bar charts, histograms, and scatter diagrams.
• Calculate and explain measures of central tendency and spread (mean, median, mode, range, IQR, standard deviation).
• Analyse data patterns and draw logical conclusions from graphical representations.

• Projector and screen
• Whiteboard and coloured markers
• Worksheets with data sets
• Graph paper and rulers
• Calculators
• Laptops/tablets with spreadsheet software

Begin with a quick discussion of how everyday decisions rely on data—e.g., sports statistics or school survey results. Review students’ prior knowledge of mean, median and mode. Explain that today they will learn to organise data and visualise it effectively, with success measured by accurate tables, charts and correct calculations.

1. Do‑now (5') – short quiz on mean, median and mode.
2. Mini‑lecture (10') – data collection methods, constructing tables; demonstration on projector.
3. Guided practice (12') – students create frequency tables and bar charts from a sample data set.
4. Hands‑on activity (15') – groups build histograms from measured heights and plot a scatter diagram of study hours vs. exam scores.
5. Calculations practice (10') – compute mean, median, mode, range, IQR and standard deviation for given data.
6. Exit ticket (5') – three short questions summarising key concepts.

Recap the main ideas: organising data, choosing appropriate graphs, and interpreting measures of central tendency and spread. Collect exit tickets to gauge understanding, and assign homework for students to gather a personal data set (e.g., favourite subjects) and produce a bar chart or histogram.