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Last updated:

April 7, 2022

Duration:

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FREE

This course includes:

Unlimited Duration

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Description

This 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.

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.

Course Curriculum

  • Introduction 00:10:00
  • Learning outcomes 00:10:00
  • Overview 00:10:00
    • Boxplots 00:05:00
    • Simple boxplots 00:20:00
    • Boxplot activity 00:20:00
    • Comparing data sets using boxplots 00:20:00
    • Boxplot activity 2 00:20:00
    • Summary 00:15:00
    • Exercise 00:20:00
    • Producing useful tables 00:10:00
    • Data sets in different tabular forms 00:20:00
    • Basic table layout 00:20:00
    • Table activity 00:10:00
    • Including the results of useful calculation 00:30:00
    • Early retirement from the National Health Service 00:30:00
    • Summary 00:10:00
    • Interpreting data in table 00:10:00
    • Health personnel in Thailand 00:20:00
    • Health care personnel in Thailand: activities 00:30:00
    • HIV testing in sub-Saharan Africa 00:30:00
    • Guidelines for graphics 00:20:00
    • The British Crime Survey 00:30:00
    • Summary of Section 3 00:10:00
    • Conclusion 00:20:00

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Open University UK