| Instructor: |
Davar Khoshnevisan (Contact Information | Office Hours) |
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| Time/Place: | MW 9:40-10:30 am,
WBB 617 |
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| Text: | Probability and Statistics, Jay L. Devore,
Duxbury Press, Sixth Edition. |
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| Course Description: |
Introduction to analysis of variance, regression analysis,
correlation analysis, and nonparametric techniques. Continued use
of SAS programming language. There are two lectures and one 1.5-hour lab per week. |
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| Lab: |
The main lectures (3080-1) meet on MW 9:40-10:30 am WBB 617.
In order to sign up for this course, the student registers for the
statistical computing lab (3080-2).
Attendance is mandatory for both the main lectures,
and the lab. |
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| Grading: |
The student's grade is based on scores from the lab (10%), homework assignments
(10%), two midterms
(25% each), and a comprehensive final
exam (30%). The midterm exams are not comprehensive. The
grading curve follows.
The instructor makes refinements to the grade (e.g., A-, B+,
etc.) in accord with the fine details of
the student's individual performance.
| %-age |
91-100 |
76-90 |
61-75 |
50-60 |
0-49 |
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| Grade | A |
B | C |
D | E |
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|
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| Exams: |
The best two of the three midterm scores
make up 50% of the student's grade in the course. The lowest
midterm score is dropped. There are no
make-up tests in this course, and the midterms
are not comprehensive
(dates).
There is also a comprehensive final exam;
it accounts for 30% of the grade (schedule). |
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| Homework: |
Homework is posted under "Homework" below.
New assignments are announced during the lectures,
and have assigned due dates.
|
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| Seeking Help: |
To find help, the students are encouraged to visit the
instructor during the designated drop-in office hour
(web link),
schedule an appointment
(web link), or
visit the fine (no-cost) tutoring center
(web link)
of the department of mathematics. The tutoring center
is centered at the T. B. Rushing Undergraduate Student
Center in the basement of LCB. |
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