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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.

After studying this course, you should be able to:

  • understand and 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
  • understand that data can have a pattern which may be represented graphically
  • understand that the standard deviation and the interquartile range are measures of the dispersion in a data set
  • understand that the median and the interquartile range are more resistant measures than are the mean and the standard deviation
  • identify an overall 'feel' for data and the way it is distributed by constructing appropriate graphical displays.

By: The Open University

  • Duration 20 hours
  • Updated Monday 22nd February 2016
  • Introductory level
  • Posted under Mathematics
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Exploring data: graphs and numerical summaries

Introduction

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This course 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 OpenLearn 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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