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Quantitative and Qualitative Data

Presentation and display of quantitative data: graphs, tables, scattergrams, bar charts

  • 3 things to know
  • Paper 2

Overview

Scattergrams, bar charts, histograms and tables, what each is used to show, and the conventions for setting out axes.

What you need to know

Answer each one before you reveal it.

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Key term

What does a scattergram show?

Key term

How does a bar chart differ from a histogram?

Process

How should the axes of a graph be set out?

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    On a standard graph, which axis typically displays the independent variable and which displays the dependent variable?

    Model answer

    The independent variable is typically displayed on the x-axis (horizontal) and the dependent variable on the y-axis (vertical)

  2. 2

    What is the purpose of using graphs to display quantitative data?

    Model answer

    Graphs display quantitative data using axes to show the relationship between variables visually

  3. 3

    What is a scattergram?

    Model answer

    A scattergram displays the relationship between two continuous variables by plotting individual data points, with each point representing one participant's scores on both variables

  4. 4

    On a scattergram, what pattern of data points indicates a positive correlation?

    Model answer

    Points trending from bottom-left to top-right indicate a positive correlation

  5. 5

    How would data points appear on a scattergram showing a negative correlation?

    Model answer

    Points would trend from top-left to bottom-right

  6. 6

    On a scattergram, how can you visually determine whether a correlation is strong or weak?

    Model answer

    Points clustered closely around an imaginary line indicate strong correlation, while widely scattered points indicate weak or no correlation

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AThe mean is the arithmetic average of a data set.
BEvery value in the set is added together.
CThe total is divided by the number of values.

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