Plotting and Interpreting Statistical Diagrams

Drawing Pie Charts

Interpreting Pie Charts

Plotting Time Series

Frequency Diagrams and Polygons

Cumulative Frequency Diagrams

Box and Whisker Diagrams

Drawing Histograms

Interpreting Histograms

Pie Charts

Histograms

Problem Solving with Cumulative Frequency Graphs

Prerequisite Knowledge

• Interpret and construct:
  • frequency tables
  • bar charts
  • pictograms
• for categorical data.
• Construct and interpret stem and leaf diagrams
• Apply statistics to describe a population

Success Criteria

• Infer properties of populations or distributions from a sample, whilst knowing the limitations of sampling
• Interpret and construct tables and line graphs for time series data and know their appropriate useconstruct and interpret diagrams for grouped discrete data and continuous data, i.e. histograms with equal and unequal class intervals and cumulative frequency graphs, and know their appropriate use.

Key Concepts

• Students need to spend time interpreting the diagrams as well as creating them.
• When using pie charts to compare distributions the frequency of corresponding sectors is dependent on the total sample size.
• Frequency diagrams are used to represent discrete data whereas histograms are used for continuous data.
• Histograms with unequal class widths represent data with an unequal spread. Frequency is found using the area of a bar rather than its height.
• Cumulative frequency is the running total of the frequency.
• The interquartile range (IQR) shows the boundaries of where the most representative data is located.

Common Misconceptions

• Histograms are often confused with frequency diagrams.
• Students tend to be more competent with constructing the various representations than using them to analyse and make summative comments about distributions.