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2 DAYS WORKSHOP ON
THE RIGHT WAY TO DESIGN AND ANALYSE EXPERIMENTS
Much of the research in engineering, social science and industry are empirical and makes extensive use of experimentation. Since statistical methods are used frequently to help policy makers in making decisions, it’s very vital for the researchers to have basic understanding of statistics. Because of the easy availability of the statistical packages such as SAS, SPSS, MINITAB etc, researchers who have little knowledge in statistics have a greater scope to abuse statistics while analyzing their data. Without adequate knowledge in statistical techniques such as design and analysis of experiments, researchers simply instruct the packages to analyse data using their convenient design. Unfortunately, some researchers believe that knowing statistical packages is equivalent to knowing correct statistical techniques. They often are not aware of the fact that statistical packages just follow the instructions given to them and produce results accordingly. The packages do not know whether researchers have chosen the correct statistical techniques for their studies. Consequently, meaningless and misleading conclusions are obtained from an incorrect analysis.
The correct choice of design is very important to ensure that appropriate data can be analyze by relevant statistical techniques which will produce results leading to valid and objective conclusions.
Topics in a Design and Analysis of Experiments (DOE) course range from the introduction of the basic principles of DOE to recognizing the appropriate designs suitable for each experimental situation, analysis of variance on the data collected, diagnostic and adequacy checking on the estimated design model, the estimation of and inference on the parameters of the model.
By ignoring the correct design and adequacy checking will lead to invalid inferences and inaccurate predictions.
In this workshop, participants will be introduced to the planning and analysis of appropiate statistically designrd experiments in order to achieve the objectives of their research. Participants will have the opportunity to interactively use SPSS and will be guided on the interpretation of the outputs obtained.
After attending this workshop, the participants should be able to plan, design and conduct experiments effectively and also be able to select an appropriate design.
Participants will also have the opportunity to obtain statistical consulting service/statistical advice on the last day of the workshop.
Who Should Attend ?
Academicians, Researchers, Graduate Students and Researchers from various industries both public and private.
