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Introduction to ANOVA Course

11-12 September 2008, Hemel Hempstead, UK

Course Overview

Analysis of Variance (ANOVA) is one of the most widely used statistical techniques, with application areas that include biology, medicine, industry and finance. GenStat can claim to be the premier vendor for ANOVA techniques with its association with Rothamsted going back to R.A. Fisher. To many GenStat is ANOVA.

GenStat has a very powerful set of ANOVA techniques that are nevertheless very straightforward and easy to use. This course introduces both the theory of ANOVA and its application within GenStat.

Who Should Attend

Individuals familiar with GenStat and who need to gain knowledge and experience of Analysis of Variance techniques.

Course Aim

To introduce ANOVA techniques and develop the fundamental knowledge and skills to use them correctly and effectively. The basic principles of experimental design will also be included to aid the effective planning of experiments and investigations.

Learning Objectives

By the end of the course you should be able to:

• Select an experimental design appropriate to the requirement of your investigations.
• Use randomization to avoid bias in the allocation of units to treatments, to ensure that results are reliable and unaffected by any systematic patterns in the units.
• Determine how many replicates are required for your designs.
• Use blocking to increase the accuracy of an experiment by forming the basic units (e.g. plots or subjects) into groups with similar properties.
• Analyse simple to sophisticated designs, explaining ideas such as balance, and to recognise the GenStat features available for the analysis of unbalanced designs.
• Compare several types of treatment in the same experiment.
• Interpret experimental results and produce relevant tables, graphs and figures for publication in reports and papers.

Prerequisite Skills

Previous experience of simple statistical concepts such as means, standard errors and probability would be advisable. However, there is no need for experience with complicated maths as the course adopts a practical and applied approach.

Training Methods

Formal lectures, GenStat based practical sessions which utilise real data. Participants are encouraged to bring their own experimental data to further enhance practical sessions.

Cost

Course fees include attendance, course notes and materials, lunch and refreshments for both training days but excludes accommodation:

Commercial registration rate of £1,050 (excl VAT)

Academic registration rate of £600 (excl VAT)

Booking

Please go to our webstore to book on-line.

Terms

• Registration is confirmed as definite on receipt of payment.
• Cancellations received 2 weeks or more prior to the course date will receive a full refund of registration fees or a place on a future VSNi training course.
• Cancellations received 1-2 weeks prior to the course date will receive a 50% refund of registration fees or a place on a future VSNi training course.
• Cancellations received less than 1 week prior to the course date will be offered a place on a future VSNi training course.

For more information, please do not hesitate to contact us at: training