Applied Statistical Methods
STAT 1000

Spring 2004, CRN 14192 4 credits
Department of Statistics
University of Pittsburgh

(new) StatTutor Labs 5-8 on inference for quantitative variables are available here; use with Internet explorer, not Netscape.( (old) StatTutor Labs 3&4 on displaying and describing relationships are available here; use with Internet explorer, not Netscape.( (old) StatTutor Labs 1&2 on displaying and describing distributions are still available here.)( StatTutor Labs 9-12 on inference for regression, ANOVA, chi-square, and single proportions available here; use with Internet explorer, not Netscape.
Time/Place MWF 11:00-11:50, CL 324
StatTutor
Instructor Dr. Nancy Pfenning
Office Cathedral 2710
Website www.pitt.edu/~nancyp
E-mail nancyp+@pitt.edu
Phone 624-8729 (statistics office, leave message with Diane)
  521-8349 (home, if urgent, before 10pm)
  624-8336 (during office hours)
Office Hrs. Thursdays 9:00-11:30 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

News

  • Dr. Pfenning will hold extra office hours Monday, April 19th from 9:00 to 11:30.
  • 4/2/04 Practice Final handed out in class; here are the solutions
  • 4/2/04 Midterm 2 scores had mean 75%, standard deviation 15%;
  • 3/31/04 Practice Midterm 2 handed out in class; see solutions .
  • 2-19-04 Information on Jessica Utts' talk Investigating Psychic Phenomena with Statistics at Pitt (WWPH 1P56) at 12noon, March 25
  • 2-18-04 Extra Credit Exercises for the entire semester may be found here.
  • 2-18-04 Normal Practice Exercises Solutions now available
  • 2-16-04 Midterm 1 scores had mean 73%; solutions handed out in lecture.
  • 2-10-04 Read coincidence stories of our class members!
  • 2/6/03 Practice Midterm 1 handed out in class; see solutions .
  • Fall 2003 Survey data: survey9-21-03.txt. a tab-delimited text file, is now available;
  • Spring 2004 Survey data: survey1-21-04.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.
  • 8/25/03 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) is now offering 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!
  • All recitations on the following dates: Jan. 8,9; Jan. 15,16; Feb. 19,20; Apr. 8,9; Aprl 15,16 will be held in the Stat Lab 435 CL (enter on Bigelow side of Cathedral, take steps up to 4th floor.
  • Otherwise recitations will meet in the assigned classroom (CL 129 or 219 or 2318 or 229)
  • Jan. 2004 Handout in recitation on MINITAB Basics to be used as a reference for all MINITAB work.

Description

This course is an intensive introduction to statistical methods. It is designed for students who want to do data analysis and to study further ideas in applied statistics beyond this course. The topics covered include descriptive statistics, elementary probability, random sampling, controlled experiments, hypothesis testing, regression, and the analysis of variance. Emphasis will be placed on the statistical reasoning underlying the methods. Students will also become proficient in the use of a statistical software package, MINITAB.

Prerequisites

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

Requirements

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

Grading

11 Homeworks 202
12 Lab Problems 48
Best 10 of 11 Quizzes 100
Midterm 1 150
Midterm 2 200
Final Exam 300
Total 1000
Extra Credit max 50

Course Grade

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.

Textbook

Utts and Heckard: Mind on Statistics, 2nd ed., Duxbury Press

Lecture Notes

Handed out weekly in class; also available for copying in Math/Stats library 4th floor Thackeray

Recitations

  • Thursday, 12:00-12:50 CL 129 [CRN 13829]
  • Thursday, 2:00-2:50 CL 219 [CRN 14197]

Instructor: Tony Signoriello bigsig11@hotmail.com Office Hours Thursdays 3:00-4:45 CL 2617 (take elevator to 27, walk down a flight)

  • Friday, 9:00-9:50 CL 2318 [CRN 13824]
  • Friday, 10:00-10:50 CL 229 [CRN 14202]

Instructor: Glenson France glf6@pitt.edu Office Hours WWPH 4S51A Fri.1:30-3:00

Recitations will concentrate on the use of MINITAB (our computer package) and on the clarification and review of lecture material. All quizzes except Quizzes 10 and 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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