The proper sample size is an important issue in Statistics. It depends on the statistical property (average, standard deviation, RSD, proportions, rate), the size of effect considered important, and the amount of variation in the data. The impact of sample size is very different for Confidence Intervals versus Hypothesis Testing. Learn how to find the information required to decide the proper sample size and what to do when the number of samples available is different from the calculated sample size.
Dr. Taylor is a leading expert in the application of Statistics in the pharmaceutical, medical device and diagnostics industries. Dr. Wayne Taylor is the founder and chairman of Taylor Enterprises, Inc. where he is responsible for developing the VarTran®, Change-Point Analyzer, Sampling Plan Analyzer and Distribution Analyzer software packages as well as providing consulting and training to the FDA regulated industries in Statistics. He authored the books Optimization and Variation Reduction in Quality and Guide to Acceptance Sampling. He is a leading expert in acceptance sampling, process validation, trending and CAPA problem solving. Dr. Taylor has a Ph.D. in Statistics and is an Accredited Professional Statistician. He is a fellow of the American Society for Quality, a fellow at the Royal Statistical Society, and a member of the American Statistical Association. Dr. Taylor received his Ph.D. in Statistics from Purdue University He is a Fellow of the American Society for Quality, recognized as one of 100 Notable People in the Medical Device Industry by MD&DI Magazine and received the Distinguished Science Alumni Award from Purdue University.