Basic Applied Statistics
|Time/Place||MWF 10:00-10:50, CL G8|
|StatTutor||StatTutor Labs are available here; the first pair of problems, on displaying and describing distributions, should be completed by choosing the module on Credits and Shoe Sizes; use with Internet Explorer, not Netscape. The second pair is on body size and campus residence. The third set, in Module 3, contains 4 problems, and corresponds to recitation November 22-23. The fourth set, in Module 4, contains 4 problems, and corresponds to recitation November 29-30.|
|StatTutor Demo||StatTutor for guests may be accessed by non-students who are interested in trying it out.|
|Instructor||Dr. Nancy Pfenning|
|Phone||624-8729 (statistics office, leave message with Diane)|
|521-8349 (home, if urgent, before 10pm)|
|624-8336 (during office hours)|
|Office Hrs.||Mon. Wed. Fri. 11:30-12:30, Thurs. 12:00-1:30 or by appt.|
|Stat Lab||435 Cathedral (take stairs up from Bigelow side of Cathedral); for hours of operation and names of TAs on staff, see schedule|
|but avoid times when the lab is reserved|
|Free Tutors||Contact the Academic Support Center 648-7920 or visit their website and refer to Math Assistance|
This is a course for students who wish to learn basic methods in order to analyze simple studies and experiments. This course will present the basic methods of applied statistics, utilizing an easy-to-use interactive statistical computing package called MINITAB. Students will be provided with readily understandable and intuitive descriptions of statistical analyses. The topics to be covered include: basic descriptive statistics for univariate and bivariate data, very elementary probability theory, random samplings from populations and random allocation to experimental treatments, sampling distributions, concepts of confidence intervals and hypothesis testing, tests of means in one-sample, two-sample, paired-sample and standard analysis of variance contexts. Categorical data analysis will also be discussed. Most students taking this course will probably not pursue further formal undergraduate study in applied statistics.
MATH 0031 (Algebra) or equivalent. No Comp. Sci. background needed.
Homework,computer lab problems, quizzes, two midterms, and a comprehensive final exam.
|12 Lab Problems||60|
|Best 10 of 11 Quizzes||100|
|Extra Credit||max 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"; completing extra credit assignments (specified in lecture notes) throughout the semester can help you to optimize your chances for the best possible grade. These are to be handed in to me by the following lecture; no late homeworks or extra credits will be accepted.
Utts and Heckard: Mind on Statistics, 2nd ed., Duxbury Press
Handed out weekly in class; also available for copying in Math/Stats library 4th floor Thackeray
Instructor: Margaret Kerr email@example.com Office Hours: Wednesdays 4:30-5:30, Thursdays 9:00-11:00 WWPH Sociology 2422
Recitations will concentrate on the use of MINITAB (our computer package) and on the clarification and review of lecture material. All quizzes except Quiz 11 will be administered in recitation. In addition, individual questions, especially those pertaining to the homework assignments, may be addressed.
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 your recitation instructor 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