This workshop will discuss the basics of experimental design and multivariate statistics for analysis of food and beverage samples. The focus will be on fundamentals of sound experimental design for collecting data from multiple analytical platforms (GC, LC, MS, ICP, etc.) with large numbers of samples and analysis by multivariate statistical approaches. This 1.5-day workshop will also provide opportunities to discuss real world data sets featuring tips on pitfalls and limitations of common statistical approaches and how to choose appropriate sampling techniques and statistical tools to meet project objectives. Emphasis will be on use of Agilent’s Mass Profiler Professional Statistical analysis package, although other statistical packages may also be discussed. Example data sets will be chosen for discussion and evaluation throughout the workshop.