This course will introduce the student to the basic concepts of
experimental design and data analysis. He/She will also learn how
those tools can be used to efficiently draw reliable inferences about
the behavior of processes. We first identify the fundamentals nature
of process investigation and the role of probability and statistics in
the collection and interpretation of process data. This will provide
the students with a strong background for development of empirical
relationships between process variables through model building with
multiple linear regressions. This background will enable the student
to use the basic techniques for the design of experiments for
screening out the active operating variables including 2-level
factorial and fractional factorial design as well as design for
mixtures. On top of that, the students will introduce to a variety of
computer tools for carrying out common statistical procedures.