The course aims to introduce graduate students into the basic principles and methods of Statistical Process Control, as applied in the food industry.
Upon completion of this course, the student is expected to be able to:
- explain the notion of probability distribution
- use the Normal distribution and basic discrete distributions
- apply estimation and testing methods
- interpret statistical significance correctly
- apply and justify methods and tools for statistical quality control
- describe the characteristics of basic experimental designs
- describe the characteristics of basic acceptance sampling plans
- use statistical software for statistical quality control
- comprehend the notion of uncertainty which is always contained in statistical inference critique data-based claims and evaluate data-based decisions
- comply to ethical issues