Math 384: Applied Statistics 2
Math 584: Advanced Applied Statistics
Course Syllabus
Spring 2006


Instructor: William Hooper
Office: Science Center 371
Phone: 6415
Email: hooperw@clarkson.edu
Class Meeting Times: Monday, Wednesday and Friday, 8:00am - 8:50am in SC 386
Office Hours: By appointment and

Monday Wednesday Friday
9:00am-10:00am
and
3:00pm-4:00pm
9:00am-10:00am
and
3:00pm-4:00pm
9:00am-10:00am
and
12:00noon-1:00pm

Office Hours subject to change.
Textbook: Applied Statistics for Engineers and Scientists by Jay Devore and Nicholas Farnum.
Objectives: To prepare students of engineering and science to
1. use statistical methods as applied to practical problems, and
2. learn new methods.
Outcomes: At the end of the course the students should be able to
1. understand and be able to use multiple regression techniques,
2. be familiar with computer-intensive and nonparametric estimation techniques,
3. understand sampling theory and be familiar with various sampling plans, and
4. be familiar with quality control techniques.
Academic Integrity: "The Clarkson student will not present, as his or her own, the work of another, or any work that has not been honestly performed, will not take any examination by improper means, and will not aid and abet another in any dishonesty." (Clarkson Regulations) Any student violating this standard will receive an F in the course and will not be allowed to submit any further work.

You are welcome, and sometimes expected, to work with other students on homework and projects. However, what you turn in should represent your own understanding of the assignment.

Equipment: You are expected to have a calculator for exams. A simple scientific calculator will suffice. Spreadsheet programs may be used for homework but not exams. In addition we will be using the program Minitab for some of the homework assignments.
Exams: There will be 4 in-class exams in addition to the final exam. The material to be covered on exams will be outlined two classes before the exam. The Final Exam will be comprehensive, covering the whole course. The dates for the in-class exams will be

Exam 1 Friday, February 3
Exam 2 Friday, March 3
Exam 3 Friday, March 31
Exam 4 Friday, April 21
Homework: Each week there will be an online homework assignment in Blackboard. These assignments will collectively be worth 20% of your final grades. For those students taking MA584 there will be additional assignments which will collectively be worth an additional 10% of your final grade.
Grading:
MA384: The four in-class exams will count 12.5% each, while the final exam will count 30%. Your cumalative homework grade will count 20%.
MA584: The four in-class exams will count 10% each, while the final exam will count 30%. Your cumalative homework grade will count 30%.
General Comments: We will cover as much of the textbook as time allows. Typically, Applied Statistics 1 covers chapters one through five and begins chapters seven and eight, with the remaining chapters covered in this course. We may, however, skip some sections or include additional material. The topics covered in the text are:

Chapter One: Data and Distributions
Chapter Two: Numerical Summary Measures
Chapter Three: Bivariate and Multivariate Data
Chapter Four: Obtaining Data
Chapter Five: Probability and Sampling Distributions
Chapter Six: Quality Control
Chapter Seven: Estimation and Statistical Intervals
Chapter Eight: Testing Statistical Hypotheses
Chapter Nine: The Analysis of Variance
Chapter Ten: Experimental Design
Chapter Eleven: Inferential Methods in Regression and Correlation