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Comparing Groups

  • Key information

    School of study

    		 Hertfordshire Business School

    Course length
  • Part Time
  • Entry requirements

    It is assumed that delegates on this course will have prior knowledge of probability and the Normal distribution. Those whose experience of these topics is some time in the past should find sufficient reminders given to enable them to participate fully.

About the course

This course is about classical hypothesis testing, including t-tests, one-way ANOVA and chi-square.

This course is aimed at all who have groups in their data that need to be compared and contrasted, whether the data comes from a survey, experiment or elsewhere.

The topics covered are one-sample hypothesis tests, two-sample hypothesis tests, one-way analysis of variance (ANOVA), non-parametric analyses and chi-square test of independence. These topics will be demonstrated using Excel and SPSS.

It is assumed that delegates on this course will have knowledge of probability and the Normal distribution. Those whose experience of these topics is some time in the past should find sufficient reminders given to enable them to participate fully.

See our full range of courses or contact the course organiser, Prof Neil Spencer, at statistics@herts.ac.uk.

Course fees

Dates can be organised if an organisation have a group of people wanting to take this course.

£TBA