Credits: 3 Prerequisite: STAT 367
| Instructor: | Jeff Terpstra, 201H Waldron Hall
phone: 231-8188, email: Jeff.Terpstra@ndsu.edu web page: http://www.ndsu.nodak.edu/instruct/terpstra/ |
| Office Hours: | To be announced (TBA). |
| Class Meetings: | 8:00 a.m. - 9:15 a.m., TR, LFGRD 102 |
| Text: | An Introduction to Categorical Data Analysis by Alan Agresti |
| Course Description: | Application of the binomial, multinomial, hypergeometric, and Poisson distributions to discrete data analysis. Specific topics include contingency table analysis, logistic and Poisson regression, log-linear models, multicategory logit models, and ordinal regression. |
| Course Objective: | To provide students with a basic understanding of fundamental categorical data analysis techniques. Upon completion of the course students will ba able to apply these techniques to real world problems. |
| Homework: | Homework problems from the text book, and possibly other sources, will be assigned, collected, and graded periodically throughout the semester. |
| Exams: | There will be two exams (a midterm and final) during the semester. You will be allowed one 8.5 x 11 inch sheet of paper with anything you wish to put on it for each exam. |
| Final Exam: | The final exam is exam #2 and will be given on Wednesday, December 14 from 10:30 a.m. - 12:30 p.m. This exam is not comprehensive. |
| Make-up Policy: | Pre/Post-due-date coursework (i.e. homework and tests) will
be allowed at the discretion of the instructor assuming the student provides
the instructor with a legitimate excuse. Pre-due-date coursework
will be graded "as is" with no penalty. However, the following grade
will be given for all types of post-due-date coursework:
post-due-date-grade = minimum{your score, class median}. |
| Grading Policy: | Homework - 50%, Exam#1 - 25%, Exam#2 - 25% |
| Grading Scale: | The following scale is guaranteed.
A [90, 100], B [80, 90), C [70, 80), D [60, 70), F [ 0, 60) |
| Special Needs: | Any student with disabilities or other special needs, who needs special accommodations in this course, is invited to share these concerns or requests with the instructor as soon as possible. |
| Academic Honesty Statement: | All work in this course must be completed in a manner consistent with NDSU University Senate Policy, section 335: Code of Academic Responsibility and Conduct http://www.ndsu.nodak.edu/policy/335.htm. |
| Attendance: | Attendance is strongly recommended. Although not required, it might be used as one of the factors that influence a final grade for "borderline" cases. Also, at times, the material presented in class may vary from that presented in the text. Thus, class attendance and class notes are very important. |
| Incompletes: | University and Departmental policy will be followed on incomplete grades. |
| Provision: | The instructor reserves the right to make changes to this syllabus at any time during the semester. |