My OpenLearn Profile
- Personalise your OpenLearn profile
- Save your favourite content
- Get recognition for your learning
Interpreting data: Boxplots and tables
This free course, Interpreting data: Boxplots and tables, is concerned with two main topics. In Section 1, you will learn about another kind of graphical display, the boxplot. A boxplot is a fairly simple graphic, which displays certain summary statistics of a set of data. Boxplots are particularly useful for assessing quickly the location, dispersion, and symmetry or skewness of a set of data, and for making comparisons of these features in two or more data sets. Boxplots can also be useful for drawing attention to possible outliers in a data set. The other topic, which is covered in Sections 2 and 3, is that of dealing with data presented in tabular form. You are, no doubt, familiar with such tables: they are common in the media and in reports and other documents. Yet it is not always straightforward to see at first glance just what information a table of data is providing, and it often helps to carry out certain calculations and/or to draw appropriate graphs to make this clearer. In this free course, some other kinds of data tables and some different approaches are covered.
Course learning outcomes
After studying this course, you should be able to:
- understand and use the following terms: boxplots, box, whisker, upper and lower adjacent values, rate, time series, line plot
- demonstrate an awareness of the idea that the general pattern of a set of data, in terms of location, dispersion and skewness, can be graphically represented in a boxplot
- understand that boxplots can be used to provide a quick and simple comparison of data sets
- understand that patterns in tabular data can be made clearer by leaving out unhelpful information, by including extra pieces of useful information, or by drawing appropriate graphs
- describe and compare data sets on the basis of boxplots.
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 Boxplots
- 2 Producing useful tables
- 3 Interpreting data in table
- 4 Conclusion
- Keep on learning
Create an account to get more
Track your progress
Review and track your learning through your OpenLearn Profile.
Statement of participation
On completetion of a course you will earn a Statement of participation.
Access all course activities
Take course quizzes and access all learning.
Review the course
When you have finished a course leave a review and tell others what you think.
Creative commons: The Open University is proud to release this free course under a Creative Commons licence.
However, any third-party materials featured within it are used with permission and are not ours to give away. These materials are not subject to the Creative Commons licence. See terms and conditions and our FAQs.
Full copyright details can be found in the Acknowledgements section of each week.
For further information, take a look at our frequently asked questions which may give you the support you need.Have a question?
Making the decision to study can be a big step, which is why you'll want a trusted University. The Open University has 50 years’ experience delivering flexible learning and 170,000 students are studying with us right now. Take a look at all Open University courses.
Every year, thousands of students decide to study with The Open University. With over 120 qualifications, we’ve got the right course for you.
About this free course
16 hours study
Level 2: Intermediate
Download this course
Free statement of participation on completion of these courses.