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Math 152/O’Neill
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Syllabus
Text: Rice, Mathematical Statistics and Data Analysis,= 3rd edition
We will cover chapters 7-11 and 14.
Time: TTh 1:15-2:30
Room: Da= vidson Lecture Hall in Adams Hall.
Instructor: M. O’Neill
Office: =
Phone/e-mail: 607-8336/moneill@mckenna.edu
Web page: http://math.cmc.edu/moneill/
Office Hours: M 1-2:30, F 1-2:30
Topics:
7. Survey sampling
8. Estimation of parameters and fitting of probability= distributions
9. Testing hypotheses and assessing goodness of fit.= p>
10. Summarizing data
11. Comparing two samples
14. Linear Least Squares
The goal of this course is to give the student a strong theoretical and practical understanding of the basic techniques of univariate statistical inference.
There will be one assignment per chapter. In each assi= gnment there will be 5 problems to turn in, including at least one which requires = the use of the computer to analyze data. There will also be five more suggested problems per assignment.
There will be two take home midterms (8 problems, cumulative) and a final exam. The final exam will have a take home part (10 problems, cumulative) and an in-class part.
Grading: Each component of your grade, (Homework, midterm= s , final) will be given roughly equal weight.
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Classroom behavior:
You will be required to use the software package “R” in this course.
It
is available on all computers in Poppa laboratory, at least o=
ne
lab that I know of at