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University of Hertfordshire Statistical Services and Consultancy Unit http://www.herts.ac.uk/business/centres/sscu We are pleased to be able to offer places on the following courses. Introductory Courses in Statistics: "Getting Started with Stats" (1 day): 25th January, 3rd May "Starter Course in Statistics" (2 days): 19th to 20th June Courses in Data Analysis: "Comparing Groups" (1 day): 8th February, 10th May "Relationships in Data" (1 day): 25th January, 17th May "Essential Data Analysis" (2 days): 21st to 22nd June "Intermediate/Refresher Course in Statistics" (3 days): 26th to 28th June "Higher Course in Statistics" (2 days): 17th to 18th July Specialist Courses: "Survey Design and Sample Size" (1 day): 8th March, 28th May "One-Day Course in R" (1 day): 28th March "One-Day Course in SAS Programming" (1 day): 29th March "Introduction to the Design and Analysis of Experiments" (1 day): 20th April For further details of these (and other) courses, fees and an application form, please see below and at http://www.herts.ac.uk/business/centres/sscu (click on "Short Courses" at the web site) GETTING STARTED WITH STATS This course is aimed at all who need to learn about the very basics of analysing and presenting statistical data. No prior knowledge of statistics is assumed. Anyone who needs to deal with data in their work should be able to participate fully. STARTER COURSE IN STATISTICS An expanded version of our "Getting Started with Stats" course, incorporating presentation of data and questionnaire design. COMPARING GROUPS This course is aimed at all who have groups in their data that need to be compared and contrasted, whether the data come from a survey, experiment or elsewhere, and covers topics in hypothesis testing. RELATIONSHIPS IN DATA This course is aimed at all who need to examine their data for relationships that may or may not exist, whether the data come from a survey, experiment or elsewhere, and covers the topics of simple and multiple regression. ESSENTIAL DATA ANALYSIS This course combines our two one-day courses "Comparing Groups" and "Relationships in Data." INTERMEDIATE/REFRESHER COURSE IN STATISTICS This is a course aimed at all who wish to improve their competence and confidence in analysing data from surveys and experiments. You are encouraged to bring your own data for discussion/analysis. It is assumed that delegates on this course will have a knowledge of probability, the Normal distribution and hypothesis testing. Those whose experience of these topics is some time in the past should find sufficient reminders given to enable them to participate fully. HIGHER COURSE IN STATISTICS This course is aimed at those with a working knowledge of statistics who wish to learn about or improve their competence and confidence in using more advanced methods of analysing data. You are encouraged to bring your own data for discussion/analysis. It is assumed that delegates on this course will have a knowledge of probability, the Normal distribution, hypothesis testing and regression techniques. Those whose experience of these topics is some time in the past should find sufficient reminders given to enable them to participate fully. SURVEY DESIGN AND SAMPLE SIZE This course is aimed at all who need to design surveys, covering the topics of good survey design, sample size determination and power. ONE-DAY COURSE IN R This course is aimed at people who are interested in using R: a freely-available computer package for statistics used by professional statisticians. The command language used by R is very similar to that used by S-PLUS, and this course also acts as an introduction to the command language used by this package. No prior knowledge of statistics is required. Anyone whose work would involve them using a statistics package should be able to participate fully. ONE-DAY COURSE IN SAS PROGRAMMING This course is aimed at programmers or statisticians with some knowledge of SAS or those new to SAS and transferring from another statistical package. It is suited to anyone who wishes to develop a knowledge of SAS programming. No prior knowledge of statistics is required. Anyone whose work would involve them using SAS should be able to participate fully. INTRODUCTION TO THE DESIGN AND ANALYSIS OF EXPERIMENTS This course will be of interest to everyone who wants to be able to identify the important factors influencing a process. It will show how, with a minimum of experimentation, the important factors can be identified from a list of possible factors, how knowledge of the important factors can be used to predict process behaviour and how recommendations for process optimisation can be obtained. No prior knowledge of statistics is required. Anyone whose work would involve the topics covered in this course should be able to participate fully. Details of fees, discounts, etc. are available by clicking on "Short Courses" at the web site http://www.herts.ac.uk/business/centres/sscu. If you have any questions about our courses or any other service we offer, please contact me. Dr Neil H. Spencer Director of Statistical Services and Consultancy Unit =================================================================== Dr Neil H. Spencer Principal Lecturer in Statistics Director of Statistical Services and Consultancy Unit Business School, University of Hertfordshire, de Havilland Campus, Hatfield, Hertfordshire, AL10 9AB, U.K. Statistical Services and Consultancy Unit Contact Details: Telephone: +44 (0) 1707 285574; Fax: +44 (0) 1707 285410 E-mail: [log in to unmask] WWW: http://www.herts.ac.uk/business/centres/sscu Personal Contact Details: Telephone: +44 (0) 1707 285529; Fax: +44 (0) 1707 285410 E-mail: [log in to unmask] WWW: http://www.herts.ac.uk/business/staff_public/nhspencer_public ===================================================================