Location
online
Contact Information
Amy Smith
848-932-7764
732-932-1187
ys1048@njaes.rutgers.edu
Public Health Core Competency Domain Information
N/A
Credits and Continuing Education Units
Public Health CE#22526: 9.00 hour(s)
Description
In the food business, there is the product development cycle no one ever wants to ride: poorly conceived experiments which produce bad data that leads to wrong conclusions and, finally, to market failure. That is why all product developers -- from chemists to QA specialists -- should understand how insightful and intelligent data is produced.
Statistical methods are important tools employed in both food science and sensory/consumer science applications, and the Statistics for Food Scientists course includes topics that cover applications in both of these areas.
This one-day intensive refresher course is led by Frank Rossi, one of the food industry`s most experienced statistical specialists and an expert in the delicate art and science of mixing food and numbers.
Through a case-based approach, he and his colleague Viktor Mirtchev will refresh your knowledge of fundamental statistical concepts and help you gain a better understanding of the common applications of statistics in food science.
Featured Topics include:
Descriptive Statistics and Graphical Interpretation
Analysis of Variance (ANOVA)
Regression
Statistical Process Control (SPC)
Gage Repeatability and Reproducibility
Sampling
Statistical Design of Experiments (DOE)
Agenda/Additional Information
Presenters
Frank Rossi
Viktor Mirtchev
Target Audience(s)
Public Health Planner
Registered Environmental Health Specialist (REHS)