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Course Syllabus Spring 2006 |
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Instructor: William Hooper Office: Science Center 371 Phone: 6415 Email: hooperw@clarkson.edu Webpage: http://clarkson.edu/~hooperw/MA383/index.html. Blackboard: http://athena.clarkson.edu. Office Hours: By appointment and
Office Hours subject to change.
Class Meeting Times: M W F 2:00pm - 2:50pm in SC 160 | ||||||||
| Textbook: Applied Statistics for Engineers and Scientists, second edition, by Jay Devore and Nicholas Farnum. | ||||||||
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Objectives: To prepare students of engineering and science to 1. use statistical methods as applied to practical problems, and 2. learn new methods. | ||||||||
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Outcomes: At the end of the course the students should be able to 1. identify and use both continuous and discrete probability distributions, 2. understand and be able to use linear regression techniques, 3. be familiar with more robust regression techniques, 4. identify problems with sampling techniques and be able to fix them, and 5. perform hypothesis tests. | ||||||||
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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 homework problems. A simple scientific calculator will suffice. Spreadsheet programs may also be used for homework. In addition we will be using the program Minitab for some of the homework assignments. | ||||||||
Exams: There will be three in-class exams in addition to the final
exam. The dates are:
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. ANYONE UNABLE TO TAKE AN EXAM SHOULD CONTACT ME AHEAD OF TIME TO EXPLAIN THE REASON. Any exam missed without prior approval receives a grade of 0. Any appeals to grades must be submitted in writing within one week of the day exams are returned to the class. | ||||||||
| Homework: Homework problems from the textbook will be assigned on a regular basis, though it will not be collected. There will also be regular assignments on-line using the Blackboard software program. These assignments will be graded as they are completed, and your homework average will count as 15% of your course grade. Note: We will not have a Blackboard assignment during an exam week. Instead, there will be a sample exam made available. | ||||||||
| Quizzes: We will have a ten-minute quiz every Friday during class. These quizzes will be based on the Blackboard assignments, and count as 10% of your final grade.Note: We will not have a quiz during an exam week. | ||||||||
| Grading: The three in-class exams will count 15% each, while the final exam will count 30%. Your homework average will count 15%, and your quiz average will count 10%. | ||||||||
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General Comments: Class attendance is HIGHLY recommended. The
material is a combination of theory and calculation, and it is necessary
to understand the theory in order to do sensible calculations and interpret
them correctly. We will cover as much of the textbook as time allows.
Typically, this course covers chapters one through five and chapters seven
and eight, with the remaining chapters covered in MA384.
We may, however, skip some sections or include additional material.
The topics covered in the text are:
Chapter One: Data and Distributions | ||||||||
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