Covered
Descriptive Topics Statistics
Histograms, Stem and Leaf Plots, Mean, Median, Quartiles, Skewness
What students have said:
"Not only did this conference build a strong foundation in statistics but it applied this foundation to solve real world problems in other areas..." "Lot(s) of good material" "(Good) hands-on experience" "Dr. Rollins is very amiable and a good teacher" "(It) gives you a full overview of statistics and probability" "I (learned) so much about a topic that I had no understanding of to begin with--I can apply what was taught to my studies"
Probability
1st Principle Modeling, Combinatorial Modeling, Bayes Theorem, Conditional Probability, Independence, Safety, and Reliability
Discrete Distributions
Distributions, Expected Values and Variances, Critical Distributions
Continuous Random Variables
Cumulative Distribution Function, Normal Distribution
Joint Distribution and Linear Combinations
Linear Combination, Products of Random Variables, Propagation of Errors, Central Limit Theorem
One and Two Sample Inference
Type I and II Errors, Null and Alternative Hypotheses, Test Statistic Selection, Rejection Regions, Confidence Interval, Means and Variances
Statistical Process Control (SPC)
Univariate SPC: X-bar charts, R charts, S charts; Comparison with Automatic Process Control, Introduction to Multivariate SPC
Linear Regression
SLR Model, Principle of Least Squares, Inferences, Prediction, ANOVA, Treating Serial Correlation, Intro to ARMAX Modeling
Model Assessment and Discrimination
Assessing SLR Model Assumptions, Residual Plots, Scatter Plots, Normal Probability Plots
Nonlinear and Intrinsically Linear Regression Design of Experiments (DOE)
Multifactor ANOVA, General Factorial, 2P, 3P, Blocking, Confounding, Fractional Factorial, Computer Generated Designs
Dynamic DOE
Efficient Designs in Non-linear Dynamic Model Development
About the Course
The "Probability and Statistical Inference with Emphasis in Chemical Engineering" course does not assume prior knowledge of probability and statistics and thus, has no knowledge prerequisite. However, the content is broad and this course is also an excellent review for practicing engineers and scientists with a background in statistics. Although the application is towards chemical engineering, the basic content is of a general nature and suited for industrial practitioners of any discipline.
Location And Lodging Comfort Suites 2609 Elwood Dr,
Ames, Iowa (515-268-8808). A map will be sent upon receiving the registration form.
Registration
Registration fee for this course is $1000 which includes refreshment breaks, lunch each day, the course manual, and a textbook. After Dec. 10, the fee registration is $1200. Cancellation refunds, less a $25 processing fee, will be made for cancellation requests by Dec. 10. No refunds will be made after this date, but substitutions are welcome anytime. Please call Derrick Rollins at 515-450-8785 for questions about course registration.
Registration Information
________________________________________________ Name ________________________________________________ Organization ________________________________________________ Street Address __________________________________________________ City State Zip Code (___)___________________ (___)____________________ Work Phone Home Phone
About the Instructor
Derrick Rollins, B.S. in Chemical Engineering (Kansas University), M.S. and Ph.D. in Chemical Engineering and M.S. in Statistics (Ohio State University), is an associate professor with a joint appointment in Chemical Engineering and Statistics at Iowa State University since 1990. Prior to graduate school, Dr. Rollins worked seven years for E.I. DuPont in process engineering at three different plant sites. Dr. Rollins has worked as a consultant for several industrial companies such as Dow, 3M, and Shell, and he has taught short courses in statistics for several companies. This course was developed out of his teaching, practicing and consulting experiences, as well as from his strong desire to affect the proper use of statistics in "real" world problem solving.
Special Discount
Students can attend this course and the "Nonlinear System Identification In The Presence Of Serially Correlated Noise" course given January 6-7 for the combine cost of $1500 for a $300 savin...