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Stat 200 Basic Applied Statistics
Spring 2018, Mon.Wed.Fri. 10:00 (CRN 10712) or 11:00 (CRN 10713) or 12:00
(CRN 10736) Lawrence 107,
4 credits
NewsDescriptionThis 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, plus regression. Categorical data analysis will also be discussed. Most students taking this course will probably not pursue further formal undergraduate study in applied statistics. PrerequisitesMATH 0031 (Algebra) or equivalent. No Comp. Sci. background needed. Textbook/CalculatorPfenning Elementary Statistics: Looking at the Big Picture (c)2011 Brooks/Cole, Cengage Learning, STUDENT edition, sold royalty-free at the University of Pittsburgh Book Center. Note that the looseleaf version is an option, as is eBook rental. Do not use the Instructor Edition. If you'd like to consult other statistics books for reference, ask me in office hours. A calculator (any kind) is needed. RequirementsHomework,computer lab problems, quizzes, two midterms, and a comprehensive final exam. Grading
Course Grade90-105% 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 all the assignments throughout the semester can help you to optimize your chances for the best possible grade; no late homeworks will be accepted. Recitations: *Students from all lectures can use any TA's office hours. Check this website for updates of times and locations.*10:00 Lecture Candice Robinson email ccr26@pitt.edu Office Hrs* Wednesdays 2:30-4:30 in Posvar 2415;
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 Academic Integrity Every student is responsible for understanding and abiding by the University's code for ethical behavior, as outlined on this website: http://www.as.pitt.edu/fac/policies/academic-integrity
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