Stat 200 Basic Applied Statistics

Spring 2011, Mon.Wed.Fri. 10:00 (CRN 10952) or 11:00 (CRN 10953) or 12:00 (CRN 10977) CL 332, 4 credits
Department of Statistics
University of Pittsburgh

Instructor Dr. Nancy Pfenning
Office Cathedral 2710
Website www.pitt.edu/~nancyp/stat-0200/index.html
E-mail nancyp@pitt.edu
Phone 521-8349 (home, if urgent, before 10pm)
  624-8336 (during office hours)
Office Hrs Wed. 1:00-2:00, Thurs. 10:00-1:00 in CL 2710 or by appt.
Stat Lab For hours of operation and names of TAs on staff, see schedule but avoid times when it's been reserved (scroll down to their calendar). Lab is in 435 Cathedral (take stairs up from Bigelow side of Cathedral).
Tutors Contact the Academic Resource Center 648-7920 for free tutoring by undergrads or visit their website or refer to their calendar .

News

  • Practice Final and Solutions
  • Practice Midterm 2 and Solutions
  • Solutions to Midterm 1
  • Powerpoint Lecture Slides
  • Practice Quizzes and Solutions
  • Blank Homework Forms (to be printed if you didn't pick one up in class)
  • Recitations on the following dates will be held in the Stat Lab 435 CL (enter on Bigelow side of Cathedral, take steps up to 4th floor): Jan. 11-14, Feb.8-11, Feb.15-18, Apr.5-8, Apr.19-22.
  • Student Survey data: survey9-21-03.txt. a tab-delimited text file, is now available. To download it into MINITAB, type ctrl A to highlight, ctrl C to copy, start up MINITAB, type ctrl V to paste it. If it asks about delimiters, click OK.
  • Here is a brief guide to MINITAB 15 Basics , used in this course, available in campus computing labs, and featured on the student CD for $5. MINITAB is available at all campus computing labs, such as Cathedral, Forbes Quad, Benedum, and of course the Stat Lab. If in addition you would like to have MINITAB on your PC, Pitt's Software Licensing Service at 105 Bellefield Hall (behind Heinz Chapel) offers MINITAB CDs for only $5 a copy (be sure to have your student ID with you)! Otherwise, a free fully functional demo can be downloaded from www.minitab.com BUT it will only run for 30 days, so consider waiting until later in the semester!

Description

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.

Prerequisites

MATH 0031 (Algebra) or equivalent. No Comp. Sci. background needed.

Textbook/Calculator

Pfenning Elementary Statistics: Looking at the Big Picture (c)2011 Brooks/Cole, Cengage Learning, hardcover white student edition. If you'd like to consult other statistics books for reference, ask me in office hours. A calculator (any kind) is needed.

Requirements

Homework,computer lab problems, quizzes, two midterms, and a comprehensive final exam.

Grading

12 Homeworks 350
12 Lab Problems 50
Best 10 of 11 Quizzes 100
Midterm 1 150
Midterm 2 150
Final Exam 250
Total 1050
Course % Total divided by 10

Course Grade

90-105% 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: *Check this website for office hour updates.*

10:00 Lecture
  • Tuesday, 9:00-9:50 Posvar Hall 5400 [CRN 10967]
  • Tuesday, 10:00-10:50 Posvar Hall 5400 [CRN 10968]
  • Tuesday, 11:00-11:50 Posvar Hall 5400 [CRN 10969]
  • Tuesday, 2:00-2:50 Langley Hall A202 [CRN 10966]
11:00 Lecture
  • Wednesday, 12:00-12:50 CL 235 [CRN 10970]
  • Wednesday, 1:00-1:50 CL 235 [CRN 10971]
  • Wednesday, 2:00-2:50 CL 235 [CRN 10972]
  • Thursday, 9:00-9:50 CL 237 [CRN 11128]
12:00 Lecture
  • Thursday, 4:00-4:50 Langley Hall A202 [CRN 10978]
  • Friday, 9:00-9:50 CL 335 [CRN 10979]
  • Friday, 10:00-10:50 CL 335 [CRN 11332]
  • Friday, 11:00-11:50 CL 335 [CRN 10980]

Yafei Wei (recitations on Tues. 9:00,10:00,11:00; Thurs. 9:00) email yaw24@pitt.edu
Office Hours* Wed. 3:00-5:00 CL 2600
Chongshu Chen (recitations on Tues. 2:00; Wed 12:00,1:00,2:00) email chc158@pitt.edu
Office Hours* Thurs. 1:00-3:00 CL 2712
Mark Bender (recitations on Thurs. 4:00; Fri. 9:00,10:00,11:00) email mtb34@pitt.edu
Office Hours* Wed. 2:00-3:00 Posvar 4516, Thursdays 3:00-4:00 in Langley A202 for non-lab weeks, in Stat Lab 435 CL if it's a lab week

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


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