• Understanding Analysis of Variance
• Analysis of Binary and Categorical Data
• Investigating Relationships in Data
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Analysis of Variance (ANOVA) is a key technique popularly used in analysing research data. A good appreciation of the concepts underlying this technique will help you to apply it appropriately when exploring the influence of several factors on key response variables.

In this beginners course the theory, practice and interpretation of ANOVA in simple designed experiments and in regression analysis will be explained, as well as the General Linear Model (GLM) on which the ANOVA is based. Computer based practical sessions using appropriate statistics software (SPSS, INSTAT+, SAS or MINITAB) will help participants understand the basic ideas involved. Data from a wide variety of scientific disciplines will be used to illustrate the analysis with emphasis on the interpretation of output.

Who should attend?
Scientists and technologists. Participants will be assumed to have working knowledge of the basic principles of statistical methodology such as estimation, confidence intervals and hypothesis testing. This can be obtained by attending A Review of Basic Statistics.

How you will benefit
This course will give you a firm grounding in the principles underlying analysis of variance, and how the basic techniques can be extended to more complex real life situations.

Course content

• A review of basic statistical methodology
• Introduction to ideas of linear models
• Analysis of variance in exploring simple relationships and for comparing several means
• Taking account of additional sources of variation (blocking ideas)
• Checking ANOVA assumptions via a study of residuals

Discounts
A special rate of £795 applies to those attending this course together with A Review of Basic Statistics (22-25 April 2002).

Click here to download registration form (pdf). For further enquiries, or to be added to our mailing list to receive a brochure, email statistics-courses@reading.ac.uk.

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Many investigations often have data where there are only two, or a few, possible categories of response - for example a product may be accepted or rejected after inspection, a crop may or may not become infested with pests, a patient's symptoms can be classified as none, mild, moderate or severe.

This course will explain statistical techniques for studying associations between outcomes like those mentioned, and possible explanatory factors. The emphasis will be on practical application and interpretation rather than theory. A large component of the course will be PC-based practical work on user-friendly statistics packages such as MINITAB, SPSS and SAS.

Who should attend?
Scientists and technologists who already have some statistical training but whose knowledge is lacking in the area of statistical methods specifically for binary and categorical data. Prior attendance on A Review of Basic Statistics and Introduction to Regression Analysis, or equivalent knowledge, is required for this course.

How you will benefit
You will be introduced to some of the necessary tools for summarising and analysing qualitative data, and learn how to fit and interpret models for exploring associations in such data.

Course content

• Graphical and tabular summaries of data
• Classical techniques applied to proportions
• Chi-square tests of association between two categorical factors; validity, interpretation, limitations and residuals
• Odds, and odds ratios
• The concept of likelihood
• Logistic models for binary, nominal and ordinal data

Discounts
A special rate of £795 applies to those attending this course together with A Review of Basic Statistics (22-25 April 2002).

Click here to download registration form (pdf). For further enquiries, or to be added to our mailing list to receive a brochure, email statistics-courses@reading.ac.uk.

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This course is for those faced with examining how one response, or output, depends on other "explanatory" variables. Consideration will be given to descriptive methods, correlation, regression and simple multivariate techniques in handling such data.

The course consists of lectures, interactive demonstrations and practical sessions. Practicals may use SPSS, MINITAB or Genstat; other packages including INSTAT+, SAS and S-PLUS will be demonstrated.

Who should attend?
Scientists and technologists who wish to use statistical techniques for examining relationships in data. Prior attendance on A Review of Basic Statistics, or equivalent knowledge, will be assumed.

How you will benefit
Important practical approaches are explained with examples drawn from a wide variety of scientific fields. The methods are important in their own right and encourage good statistical practice more generally.

Course content

• Descriptive methods of examining relationships in graphs and tables
• Simple multivariate methods to examine relationships
• Use and misuse of correlations
• Simple linear regression
• Multiple regression models, selection of variables
• Regression models involving groups of data
• Model checking
• Complications, including non-normal data

Click here to download registration form (pdf). For further enquiries, or to be added to our mailing list to receive a brochure, email statistics-courses@reading.ac.uk.

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If you have any questions or comments regarding our short course programme, email statistics-courses@reading.ac.uk. Our contact details are given at the bottom of each webpage.

Our terms and conditions can be found by linking here.

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