| The Basics | |||||||||||||||||||||||||||||||||||||||||
| Instructor: | Brian Habing, Assistant Professor office: 420G LeConte e-mail: habing@stat.sc.edu office phone: 777-3578 home phone: 739-2686 (9am to 10pm only) | ||||||||||||||||||||||||||||||||||||||||
| Course Website: | http://www.stat.sc.edu/~habing/courses/518F98.html | ||||||||||||||||||||||||||||||||||||||||
| Office Hours: |
Monday/Wednesday 4:00 - 5:00 Wednesday/Friday 10:30 - 12:00 and BY APPOINTMENT | ||||||||||||||||||||||||||||||||||||||||
| Prerequisite: | A grade of C or higher in Statistics 515 (Statistical Methods I) or equivalent | ||||||||||||||||||||||||||||||||||||||||
| Credit: | 3 hours (undergraduate or graduate). | ||||||||||||||||||||||||||||||||||||||||
| Topics Covered: | Application of nonparametric statistical methods rather than mathematical development. Levels of measurement, comparisons of two independent populations, comparisons of two dependent populations, test of fit, nonparametric analysis of variance, and correlation. | ||||||||||||||||||||||||||||||||||||||||
| Purpose of Course: | To introduce the principles and application of nonparametric data analysis in areas such as the one- and two-sample location problems, regresson, correlation, one-way and two-way analysis of variance. To compare these methods to classical methods through simulation exercises. | ||||||||||||||||||||||||||||||||||||||||
| Text: | Nonparametric Statistical Methods (Revised Edition), by M. Hollander and D. Wolf, Wiley, 1973. | ||||||||||||||||||||||||||||||||||||||||
| The Details | |||||||||||||||||||||||||||||||||||||||||
| Computers: | This course will use the software package Splus and other statistical packages as needed. If you do not currently have access to this package, you will be given accounts on the department of statistics UNIX servers. Additionally, you will be given accounts on the PC workstations in 303A LeConte NO PREVIOUS KNOWLEDGE OF S-plus IS ASSUMED. | ||||||||||||||||||||||||||||||||||||||||
| Homework: |
Homework is due at the beginning of the class period it was
assigned for. Late homework is not accepted. Homework will be assigned at least three class periods in advance in class, and will also be posted on the class website later in the day on which it was assigned. If the homework is on a handout, that handout will be available in class and during office hours. There will be 10 homework assigments, the 8 highest scores will count toward the final grade. The homework will be scored out of 10 points. THE HOMEWORK WILL NOT BE GRADED UNLESS:
You MAY work on the homework assignments with other students, but each student must write it up individually. (i.e., No photocopies of other students work.) Any questions about the grading of a problem on the homework must be made by the class period following the one in which it was returned. | ||||||||||||||||||||||||||||||||||||||||
| Project: | An individual final project will be due by 4:30 pm on Tuesday, November 24th. The project will be a combination parametric data analysis, nonparametric data analysis, and simulation power study comparing the two. The full details on the project will be announced on September 24th (the class period following the first exam.) | ||||||||||||||||||||||||||||||||||||||||
| Exams and Topics Covered: | There are two "hour" exams and a
final exam. The topics covered in the exams will generally follow the chapters
of the text listed below. However,
the exams may also cover material which was solely
presented in class, and that is not contained in the text. The final exam
is not cumulative, but does cover more material than either of the first two
exams and is worth 20% more than either of the first two exams. The first exam is in class on Tuesday, September 22nd. It will focus on the subjects related to chapters 2 and 3 of the text, including: Binomial tests and estimation (estimator for probability of success, confidence interval), and the one-sample location problem (paired data and one sample problems, signed rank test, sign test, and test of symmetry.) The second exam is in class on Thursday, October 22nd. It will focus on the material related to chapters 4, 5, and section 10.1 of the text, including: the two-sample location problem (rank sum test, hodges-lehmann estimator and confidence interval), the two-sample dispersion problem (rank test when medians are known or equal, rank test for unknown median, jacknife), and Goodness of Fit (the Kolmogorov-Smirnov test for the two-sample problem). The final exam will be held at 9:00am on Thursday, December 10th. It will focus on the material related to chapter 6 and sections 7.1 to 7.3, 8.1 to 8.3, and 9.1 to 9.4 of the text, including: one-way layout (Kruskall-Wallis test, test for ordered alternatives, multiple comparisons based on Kruskal-Wallis rank sums, contrast estimator based on Hodges-Lehmann two sample estimators), two-way layout (Friedman test, Page's test for ordered altternatives, multiple comparisons based on Friedman rank sums), correlation (Kendall's tau, test for independence), and regression (estimate of slope, test and confidence interval for slope). Make up exams will be given only in extreme circumstances, and only when accompanied by appropriate documentation. Incidence of cheating and academic dishonesty will be punished to the full extent allowed by university regulations. Any questions concerning a grade recieved on an exam must be raised by the next class period after it was returned.
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| Grades: | The grade is determined by the scores on the
homework, project, and the three examinations as follows:
with the letter grade determined by the percentage of points obtained out of the maximum possible 460.
While it will generally not be necessary to "curve" or rescale the grades on the hour exams or the final, this may be done at the instructors discretion by setting 100% to be 100%, the lowest A to be 90.0%, the lowest D to be 60.0%, and 0% to be 0%, and then linearly interpolating to calculate the scores and rounding up to the next half point. In all cases, the rescaled scores shall not be lower than the original scores, and the scaling shall be announced when the graded exams are returned. There is no "extra credit". | ||||||||||||||||||||||||||||||||||||||||
| Complaints and Comments: | While there are end of semester evaluation forms, they come far too late to resolve any difficulties experienced in the class. All complaints should be raised by either speaking with me directly, or by anonymously leaving a message in my mailbox in 216 LeConte. |