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Exploring data: Graphs and numerical summaries

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This free course, Exploring data: graphs and numerical summaries, will introduce you to a number of ways of representing data graphically and of summarising data numerically. You will learn the uses for pie charts, bar charts, histograms and scatterplots. You will also be introduced to various ways of summarising data and methods for assessing location and dispersion.

Studying this unit will help you work towards the following learning outcomes:

  • Know and be able to use standard symbols and notation: for the pth value in a data set when the values are written in order, the sample lower and upper quartiles and the sample median, the sample mean and the standard deviation.
  • Be aware that data can have a pattern which may be represented graphically.
  • Be aware that the standard deviation and the interquartile range are measures of the dispersion in a data set.
  • Be aware that the median and the interquartile range are more resistant measures than are the
    mean and the standard deviation.
  • Acquire the skill of gaining an overall 'feel' for data and the way they are distributed by constructing appropriate graphical displays.
  • Acquire the skill of describing data sets on the basis of graphical displays and numerical summaries.
  • Acquire the skill of calculating summary measures such as the median, the upper and lower quartiles, the mean, the standard deviation and the variance, using a calculator.

By: The Open University

  • Duration 20 hours
  • Updated Wednesday 5th March 2014
  • Introductory level
  • Posted under Mathematics
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Exploring data: graphs and numerical summaries

Introduction

Unit image

This unit will introduce you to a number of ways of representing data graphically and of summarising data numerically. You will learn the uses for pie charts, bar charts, histograms and scatterplots. You will also be introduced to various ways of summarising data and methods for assessing location and dispersion.

This free course is an adapted extract from the Open University course M248 Analysing data. [Tip: hold Ctrl and click a link to open it in a new tab. (Hide tip)]

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