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CSC186/ENGG186,
Methods of Random Processes, Spring 2006
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Course Information
Course description and
objectives: Introduction to the
principles of statistical analysis and experimental design. Emphasis on designs
and analysis useful in science and engineering. Topics include inferences concerning one
or more means, variances, and proportions, regression and correlation, analysis
of variance and experimental design.
1.
The students will
understand the concepts of sampling theory as they are applied to data.
2.
Students will
understand the idea of statistical significance and be able to calculate and
interpret confidence intervals based on both sample and population data.
3.
Students will
perform hypothesis tests on means and variances and interpret the results of
analysis.
4.
Students will
perform simple and multiple regression analysis and be able to interpret the
results of analysis.
5.
Students will be able
to perform an analysis of variance on a data set and be able to interpret the
results of the analysis.
Prerequisites: CSC185 or
ENGG185.
Text: Walpole, Myers, Myers,Ye, Probability and
Statistics for Scientists and Engineers (7th.), 2002
Prentice Hall, ISBN 0-13-041529-4
Student work:
There are assignments, a project, pop-up
quizzes, a midterm exam, and a final exam.
Final Grade:
10%
quizzes, 25% assignments, 15% project and
presentation, 20%
midterm, 30% final exam
Class policies:
Students are urged to attend
all class meetings, keep good class notes. Come on time, pop-up quizzes will be
given at the beginning of class. If a student has to miss a class, he or
she is responsible for obtaining from fellow students lecture notes,
assignments, and deadlines given in that class.
No makeups on quizzes; the
two lowest quiz grades will be dropped.
No late assignments/projects,
unless prior arrangements have been made with the instructor -- and it is to
the discretion of the instructor to grant or not permission for late assignments.
Permissions are granted only for the university wide accepted excuses, for example medical emergencies.
No makeups on exams.
You must take the final, complete the project and give a presentation.
Any complaints about grading
must be submitted within a week of the date that the graded work was returned
to you.
Project,
due and presentation date: During reading days, time to be announced (make up for the class on March 6th)
Midterm Exam: March 8th.
Final Exam: May 17th, 6:15-8:15.
Topics:
1. Sampling distributions and statistics, Ch 8 (1 week)
2. Point and interval estimation, Ch 9 (3 weeks)
3. Hypothesis testing, Ch 10 (3 weeks)
4. Linear regression, Ch 11 (3 weeks)
5. Multiple regression, Ch 12 (1 weeks)
6. Analysis of variance and experimental design Ch 13 (1 week)
Academic Honesty
Any
work you submit for grading must be your own. You should not copy from others,
or give others solutions to copy from. Do not copy from other students in the
class, or any other sources. When you seek help or give help be careful: you
are allowed to talk about assignments, you are allowed to discuss approaches at
high level, but you are not allowed to do assignments "together",
unless explicitly stated.
Cheating shall not be tolerated!
Be familiar with the Academic Honesty Code, FPS11. For your information
the policy for handling violations of the academic honesty is in the Hofstra
Pride Guide student handbook.