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CIE AS Maths: Probability & Statistics 1

Revision Notes

Home / AS / Maths: Probability & Statistics 1 / CIE / Revision Notes / 1. Data Presentation & Interpretation / 1.2 Representation of Data / 1.2.1 Data Presentation


1.2.1 Data Presentation


Data Presentation

What graphs and diagrams should I be familiar with?

  • You will be expected to be able to use a variety of graphs such as:
    • Stem-and-leaf diagrams
      •  Can be used with ungrouped data of a single variable
      • Shows all the data and the shape of its distribution
    • Box plots
      • Can be used with ungrouped data of a single variable
      • Shows the range, interquartile range and quartiles clearly
      • Very useful for comparing data patterns quickly
    • Cumulative frequency graphs
      • Can be used with continuous grouped data of a single variable
      • Shows the running total of the frequencies that fall below the upper bound of each class
    • Histograms
      • Can be used with continuous grouped data of a single variable
      • Can be used with varying group sizes
      • Shows the frequencies of the group, represented by the area of each bar
  • You might be expected to draw a full diagram or to add to an incomplete diagram

What should I look out for when interpreting graphs?

  • Look carefully at the context of the information given in the graph
  • Check the scales on both axes carefully, including units
    • Sometimes the numbers will be abbreviated to fit on the scale, for example if a population is given in millions then the number 60 will represent 60 000 000
    • Look carefully at the labels and units to determine how a value should be read
  • If there is more than one graph represented on the same set of axes take extra care to ensure you are reading from the correct one
  • Beware of misleading graphs, the scales on the axes, units and representation can be manipulated to make a graph look more/less convincing

Exam Tip

  • Take the time needed when working with diagrams, they are usually ‘easy marks’ questions but it is common for students to rush them and make silly mistakes.


  • 1. Data Presentation & Interpretation
    • 1.1 Statistical Measures
      • 1.1.1 Basic Statistical Measures
        • 1.1.2 Frequency Tables
          • 1.1.3 Standard Deviation & Variance
            • 1.1.4 Coding
            • 1.2 Representation of Data
              • 1.2.1 Data Presentation
                • 1.2.2 Stem and Leaf Diagrams
                  • 1.2.3 Box Plots & Cumulative Frequency
                    • 1.2.4 Histograms
                    • 1.3 Working with Data
                      • 1.3.1 Interpreting Data
                        • 1.3.2 Skewness
                      • 2. Probability
                        • 2.1 Basic Probability
                          • 2.1.1 Calculating Probabilities & Events
                            • 2.1.2 Venn Diagrams
                              • 2.1.3 Tree Diagrams
                              • 2.2 Permutations & Combinations
                                • 2.2.1 Arrangements & Factorials
                                  • 2.2.2 Permutations
                                    • 2.2.3 Combinations
                                    • 2.3 Further Probability
                                      • 2.3.1 Set Notation & Conditional Probability
                                        • 2.3.2 Further Tree Diagrams
                                          • 2.3.3 Further Venn Diagrams
                                            • 2.3.4 Probability Formulae
                                          • 3. Statistical Distributions
                                            • 3.1 Probability Distributions
                                              • 3.1.1 Discrete Probability Distributions
                                                • 3.1.2 E(X) & Var(X) (Discrete)
                                                • 3.2 Binomial & Geometric Distribution
                                                  • 3.2.1 The Binomial Distribution
                                                    • 3.2.2 Calculating Binomial Probabilities
                                                      • 3.2.3 The Geometric Distribution
                                                      • 3.3 Normal Distribution
                                                        • 3.3.1 The Normal Distribution
                                                          • 3.3.2 Standard Normal Distribution
                                                            • 3.3.3 Normal Distribution - Calculations
                                                              • 3.3.4 Finding Sigma and Mu
                                                              • 3.4 Working with Distributions
                                                                • 3.4.1 Modelling with Distributions
                                                                  • 3.4.2 Normal Approximation of Binomial


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                                                                Author: Daniel

                                                                Dan graduated from the University of Oxford with a First class degree in mathematics. As well as teaching maths for over 8 years, Dan has marked a range of exams for Edexcel, tutored students and taught A Level Accounting. Dan has a keen interest in statistics and probability and their real-life applications.


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