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Module description

The module will introduce students to basic concepts and techniques such as hypothesis testing and confidence interval estimation in statistics. Students will learn some simple statistical methods and the principles behind some advanced methods such as regression.

It will equip students with the knowledge and skills necessary to understand and critically appraise statistics in the research literature.

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Objectives

By the end of the unit, a student will be able to:

• Classify and appropriately display and summarise different types of data.
• Describe the properties of the Normal distribution.
• Distinguish between a population and a sample, and describe the precision of a sample estimate of a population parameter.
• Explain the concept of confidence intervals as applied to means, proportions, differences in means, and differences in proportions.
• Describe the process of setting and testing statistical hypothesis.
• Distinguish between ‘statistical significance’ and ‘clinical significance’.
• Evaluate the quality of published research.

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Teaching

This module can also be taken as part of the following courses:

A mixture of online tutorials, asynchronous moderated discussion groups and other interactive methods will be used to impart knowledge of key statistical concepts and methods, while structured exercises will apply these concepts to critically appraise research literature.

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Fees and funding

You can find out more about fees and funding for CPD modules in the School of Medicine and Population Health at the link below. We accept sponsored as well as self-funding students.

Fees and funding information

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How to apply

Find out what you need to do to apply for a CPD module in the School of Medicine and Population Health.

Apply for this module

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Contact

For more information on this module, speak to the lead academic: