From cast10-request@bevo.che.wisc.edu Wed Apr 5 21:18:39 2000 Received: (from slist@localhost) by bevo.che.wisc.edu (8.9.1/8.9.1) id VAA31344; Wed, 5 Apr 2000 21:18:39 -0500 (CDT) Resent-Date: Wed, 5 Apr 2000 21:18:39 -0500 (CDT) MIME-Version: 1.0 Content-Type: text/plain; charset=iso-8859-1 Message-ID: <14571.62462.151141.780578@bahaha.che.wisc.edu> Date: Wed, 5 Apr 2000 21:18:38 -0500 (CDT) From: Derrick K Rollins To: Cast10@bevo.che.wisc.edu Cc: drollins@iastate.edu Subject: CAST: Short course X-CAST-Category: education course 2000-06 Content-Transfer-Encoding: 8bit X-MIME-Autoconverted: from quoted-printable to 8bit by bevo.che.wisc.edu id VAA23446 Resent-Message-ID: <"Jv7S6n63nNO.A.1Z._P_64"@bevo.che.wisc.edu> Resent-From: cast10@bevo.che.wisc.edu X-Mailing-List: X-Loop: cast10@bevo.che.wisc.edu Precedence: list Resent-Sender: cast10-request@bevo.che.wisc.edu Sender: cast10-request@bevo.che.wisc.edu Errors-To: cast10-request@bevo.che.wisc.edu ----------------------------------------------------------------- NOTE: Past postings on the CAST10 Email List are archived on the World Wide Web at http://www.che.wisc.edu/cast10 ----------------------------------------------------------------- Probability And Statistical Inference With Emphasis In Chemical Engineering Presented By Derrick Rollins Departments of Chemical Engineering and Statistics At Iowa State University May 1-3, 2000 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. 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 AMOCO. In 1994, he won the ISU Foundation Award for Early Achievement in Teaching. 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. Format This course begins at 8:00 a.m. each morning and ends at approximately 4:15 each afternoon. Registration on the first day will begin at 7:30 a.m. There will be a 45-minute lunch break each day as well as a 15-minute morning and afternoon break. From 4:00 to 5:00 each afternoon, an optional review-tutorial will be held. Location Scheman Continuing Education Building at the Iowa State Center (Lincoln Way and Elwood Dr.). A map will be sent upon receiving the registration form. Registration Registration fee for this course is $750 which includes refreshment breaks, lunch each day, the course manual, and a textbook. After April 20, the registration fee is $800. Cancellation refunds, less a $25 processing fee, will be made for cancellation requests by April 20. No refunds will be made after this date, but substitutions are welcome anytime. Please call Ann Stapleton at 800-262-0015 for questions about course registration. Lodging Reservations for lodging should be made directly with the Ames area motels. (Area code 515) Americinn Motel & Suites 233-1005 Baymont Inn & Suites 296-2500 Best Western Starlite Village 232-9260 Comfort Inn 232-0689 Hampton Inn 239-9999 Heartland Inn 233-6060 Holiday Inn Gateway Center 292-8600 Howard Johnson Express Inn 232-8363 ISU Memorial Union 292-1111 Microtel Inn & Suites 233-4444 Ramada Inn 232-3410 Super 8 Motel 232-6510 University Inn 232-0280 Computational Equipment Attendees should bring a scientific calculator. There is no requirement for a computer, but attendees are encouraged to bring a laptop loaded with a statistical software package. The use of the statistical software package Minitab will be demonstrated. Iowa State University does not discriminate on the basis of race, color, age, religion, national origin, sexual orientation, sex, marital status, disability, or status as a U.S. Vietnam Era Veteran. Any persons having inquiries concerning this may contact the Director of Affirmative Action, 318 Beardshear Hall, 515-294-7612. May 1-3, 2000 Registration Information Name_________________________ Organization _________________________ Street Address_________________________ City,State, Zip Code _________________________ Home Phone (___)____________Work Phone (___)____________ Course Fee (By 12/20/99 $750; after $800) Method of Payment ___ I am enclosing a check payable to Iowa State University ___ Please charge my registration fee to: ___ VISA ___ MasterCard ___ DiscoverCard Number____________________ Expiration Date ________ Cardholder’s Signature___________________________ Please mail or fax this form to: Fax: 515-294-6223 Ann Stapleton Continuing Education 102 Scheman Building Iowa State University Ames, Iowa 50011-1112 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” Descriptive Statistics Histograms, Stem and Leaf Plots, Mean, Median, Quartiles, Skewness Probability 1st Principle Problem Solving and Modeling,Conditional Probability, Independence Discrete Distributions Distributions, Expected Values and Variances, Critical Distributions Continuous Random Variables Cumulative Distribution Function, Normal Distribution 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 Simple and Multiple Linear Regression SLR Model, Principle of Least Squares, Inferences, Prediction, ANOVA Model Assessment and Discrimination Assessing SLR Model Assumptions, Residual Plots, Scatter Plots, Normal Probability Plots Nonlinear and Intrinsically Linear Regression Design of Experiments One way, two way, general factorial, Latin squares