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Exploring data: Graphs and numerical summaries
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.
Course learning outcomes
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.
You can start this course right now without signing-up. Click on any of the course content sections below to start at any point in this course.
If you want to be able to track your progress, earn a free Statement of Participation, and access all course quizzes and activities, sign-up.
- Learning outcomes
- 1 0 Introducing data
- 1.1 Data and questions
- 2.3 Pie charts and bar charts
- 2.3.1 Introduction
- 1.3.2: Pie charts: surgical removal of tattoos
- 1.2.3 Pie charts: Nuclear power stations
- 1.2.4 Bar charts: nuclear power stations
- 1.2.5 Bar charts: Surgical removal of tattoos
- 1.2.6 Problems with graphics
- 1.2.7 Problems with graphics: USA workforce
- 1.2.8 Problems with graphics: nuclear power stations
- 1.2.9 Pie charts and bar charts: summary
- 3 Histograms and scatterplots
- 4: Numerical summaries
- 1.4.1 Introduction
- 1.4.2 Measures of location
- 4.3: The median
- 1.4.6: Measures of dispersion
- 4.7: Quartiles and the interquartile range
- 1.4.8 The standard deviation
- 1.4.9 Sample variance
- 1.4.10 A note on accuracy
- 4.11: Symmetry and skewness
- 4.12: Numerical summaries: summary
- 5: Conclusion
- Keep on learning
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About this free course
20 hours study
Level 1: Introductory
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