Honors Applied Statistical Methods
|Instructor||Dr. Nancy Pfenning|
|521-8349 (home, if urgent, before 10pm)|
|624-8336 (during office hours)|
|Office Hrs.||Mon. Wed. 1:00-2:30 Thurs. 1:00-2:00 or by appt.|
|Stat Lab||For hours of operation and names of TAs on staff, see schedule. Lab is in 435 Cathedral (take stairs up from Bigelow side of Cathedral). While the online reservations schedule is under construction, check the schedule posted on the lab door to see when it's been reserved for classes.|
|Course Assistant||Kaleab Abebe email@example.com Office Hours Thursdays 10:45-11:45 in CL 2632|
|Free Tutors||Contact the Academic Support Center 648-7920 or visit their website and refer to tutoring, which links to a pdf file of their walk-in tutoring hours.|
This course is an intensive introduction to statistical methods which stresses the development of critical thinking skills and increased awareness of how these methods are applied in a variety of disciplines. It is designed for students who want to do data analysis and to study further ideas in applied statistics beyond this course. Students are encouraged to investigate applications in their own major or areas of personal interest. The topics covered include descriptive statistics, elementary probability, random sampling, controlled experiments, hypothesis testing, regression, chi-square, and the analysis of variance. In addition, students will be exposed to more advanced topics in modern statistical practice. Emphasis will be placed on the statistical reasoning underlying the methods. Students will also become proficient at the use of a statistical software package, MINITAB.
Mandatory for all recitations. Up to 3 absences tolerated for lectures.
MATH 0031 (Algebra) or equivalent. No Comp. Sci. background needed.
Homework,computer lab problems, quizzes, two midterms, and a comprehensive final exam.
|12 Lab (Software) Problems||50|
|2 Seminar Presentations||50|
90-100% A; 80-89% B; etc. Plusses are assigned to the students at the top of each grade range and minuses to the students at the bottom. None of us can know in advance if an individual student will be a "borderline case"; doing your best throughout the semester can help you to optimize your chances for the best possible grade.
Pfenning's Statistics: Looking at the Big Picture (Manuscript to be pubished by Duxbury Press, revised for use in Honors Stat 1000.)
Note: The material in this course is cumulative in nature. Thus, it is important not to fall behind in your reading or assignments or you will find yourself lost. If you are confused, see me or our course assistant for help.
Note to Students with Disabilities: If you have a disability for which you are or may be requesting an accommodation, you are encouraged to contact both your instructor and Disability Resources and Services, 216 WPU (412) 648-7890, as early as possible in the term. DRS will verify your disability and determine reasonable accommodations for this course. See their website www.drs.pitt.edu