REVISION NOTES

IGCSE Edexcel Mathematics A

Home / Resources / IGCSE / Mathematics / Revision Notes / 6.1 Graphical Representation of Data
a

6.1 Graphical Representation of Data

6.1.1 Use different methods of presenting data

Types of Data

1) Discrete data takes an exact value.

For example: Age

Presentation of Data: Stem-and-leaf, Frequency Table

Statistical Diagram: Histogram, Cumultaive Frequency

2) Continuous data takes a range of values.

For example: Height

Presentation of Data: Frequency Table

6.1.2 Use appropriate methods of tabulation to enable the construction of statistical diagrams

6.1.3 Interpret statistical diagrams

6.1.4 Construct and interpret histograms (Higher Tier Only)

A histogram uses rectangle to represent each group (or class) interval. 

  • The rectangles should touch, with no gaps between them.
  • Frequency = Frequency density (height) x Group width
edexcel_igcse_mathematics a_topic 38_graphical representation of data_001_Histogram for Continuous Data: Frequency Density (Height)
edexcel_igcse_mathematics a_topic 38_graphical representation of data_002_Histogram for Continuous Data

6.1.5 Construct cumulative frequency diagrams from tabulated data (Higher Tier Only)

edexcel_igcse_mathematics a_topic 38_graphical representation of data_003_Cumulative Frequency

6.1.6 Use cumulative frequency diagrams (Higher Tier Only)

edexcel_igcse_mathematics a_topic 38_graphical representation of data_004_Histogram for Continuous Data - Drawing
edexcel_igcse_mathematics a_topic 38_graphical representation of data_005_Histogram for Continuous Data - Analysis
edexcel_igcse_mathematics a_topic 38_graphical representation of data_006_Cummulative Frequency for Continuous Data - Drawing
edexcel_igcse_mathematics a_topic 38_graphical representation of data_007_Cummulative Frequency for Continuous Data - Analysis (1)
edexcel_igcse_mathematics a_topic 38_graphical representation of data_008_Cummulative Frequency for Continuous Data - Analysis (2)