Graduate School of Business Administration



Graduate School of Business Administration MBA Program

BA 500 - Statistical Data Analysis

Fall 2002

Instructor: Dr. Martha G. Pilcher, 315 MacKenzie Hall, email: mpilcher@u.washington.edu

Course Description: This course covers statistics and probability relevant to the collection, analysis, and interpretation of data, and deals with uncertainty in the decision-making process. We begin with a brief coverage of data descriptors and continue with probability and investigate ways to deal with uncertainty by assigning likelihood to events. We then study probability distributions, random sampling, and a collection of methods of statistical inference. We will stress a thorough understanding of the basic ideas and concepts, applications, and limitations of the methods covered, as well as the ability to solve problems.

We will make extensive use of simple excel capabilities and Stat-pad, an excel add-in included in our text, to do tedious calculations, make histograms, graph data, and make the multiple regression runs in Chs. 11 and 12 and the ANOVA runs in Ch. 15.

Topics: Exploring, displaying, and summarizing data, probability, distributions, statistical inferences, estimation, confidence intervals, hypothesis testing, regression, ANOVA, Chi-Squared tests, statistical quality control.

Text: Practical Business Statistics, fourth edition, Andrew F. Siegel, Irwin McGraw Hill.

Course packet: available at Ram Copy Center.

I have prepared extensive course notes that I use as over-heads during my lectures. These course notes include problems that we will work together in class and other lecture material. The course notes are not intended as material that you use to prepare for class; my intent is for them to make it easier for you to listen, ask questions, and participate in class, rather than take lots of your own notes during the lectures.

Software: Excel and the add-in Stat-pad that comes with our text.

Classroom expectations: Please plan to attend all class sessions. Please arrive on time. Please bring to each session your course packet; please display your nametag at each session. Thank you.

Grading:

Exam 1: 40% - in-class exam on Tuesday, October 29

Exam 2: 40% - take-home exam - available Thursday, November 21, and due by Wednesday, November 27, at 12:30PM.

Exam 3: 20% - in-class exam during Finals, time to be arranged with MBA Program Office

Exams: There will be two in-class exams and one take-home exam, on dates indicated above. All exams are individual works, not team efforts.

The in-class exams will include qualitative (short answer, true/false, multiple choice, etc.) questions, quantitative (problems) questions, and questions requiring interpretation of runs from the stat-pad excel add-in. They are closed books and notes with a page of formulas provided.

The take-home exam is open books, notes, etc. - everything except others. It requires some computer calculations via excel/stat-pad and interpretation of those results.

Problem Sets:

Problem sets from each chapter are listed below and their solutions will be provided to you via excel files. However, they will not be handed in for grading. The problems included resemble those on the exams and are therefore your means of checking yourself with respect to our material. Much of our material is cumulative in nature, meaning that a chapter’s material requires knowledge of previous chapters’ coverage. These problem sets are chosen so that you can use them to check and enhance your mastery of each chapter’s material. Once we cover a chapter in class, you should work on that chapter’s problem set. At the start of the class session following a chapter’s coverage, you should either have completed the previous assignment or come with questions about the assignment.

Problems:

Ch 1 #6

Ch. 2 #19

Ch. 3 #14,22, and Case on pages 76-77

Ch. 4 #4, and Case on pages 118-119

Ch. 5 #2,8,18, and Case on pages 158-159

Ch. 6 #8,11,14,24,27, and Case on pages 206-207

Ch. 7 # 6,7,10,11,15,23,29, and Case on pages 252-253

Ch. 8 # 12,13,15,21,34,35

Ch. 9 # 3,4,14,17

Ch. 10 # 5,7,11,18,21,36,40

Ch. 11 #2,4,7,12

Ch. 12 #6,10,21

Ch. 15 #1,2,3

Ch. 17 #1,2,6,7

Ch. 18 #3,9,12

Schedule of Topics (subject to change and adjustment):

Class #1- Tuesday, Oct. 1- Ch. 1 Introduction, Ch. 2 Data Structures, Ch. 3 Histograms, Ch. 4 Landmark Summaries, Ch. 5 Variability

Class #2- Thursday, October 3- Ch. 6 Probability

Class #3- Tuesday, October 8- Ch. 6 Probability

Class #4- Thursday, October 10- Ch. 7 Random Variables

Class #5- Tuesday, October 15- Ch. 7 Random Variables

Class #6- Thursday, October 17- Ch. 8 Random Sampling (NOT sec. 8.5, pgs. 279-285)

Class #7- Tuesday, October 22- Chapter 9: Confidence Intervals (NOT secs. 9-4, 9-5, pgs. 320-326)

Class #8- Tuesday, October 24- Chapter 9: Confidence Intervals (NOT secs. 9-4, 9-5, pgs. 320-326)

Class #9- Tuesday, October 29- Exam 1- in class- closed book and notes; formulas and tables provided.

Class #10- Thursday, October 31- Chapter 10: Hypothesis Testing (NOT secs. 10-4, 10-5, pgs. 359-368)

Class #11- Tuesday, November 5- Chapter 10: Hypothesis Testing (NOT secs. 10-4, 10-5, pgs. 359-368)

Class #12- Thursday, November 7- Chapter 11: Correlation and Regression (NOT pgs. 439-442)

Class #13- Tuesday, November 12- Chapter 12: Multiple Regression (NOT secs. 12-3, 12-4, pgs. 511-526)

Class #14- Thursday, November 14- Chapter 15: ANOVA (NOT secs. 15-4, pgs. 629-634)

Class #15- Tuesday, November 19- Chapter 17: Chi-Squared Analysis

Class #16- Thursday, November 21- Review and question on chs. 10,11,12,15,17. Take-home exam available at end of class; due by Wednesday, November 26, 12:30PM. Open book and notes but not others; individual effort.

Class #17- Tuesday, December 3- no class to make up for time on the take-home

Class #18- Thursday, December 5- Ch. 18

Class #19- Tuesday, December 10- Ch. 18

Class #20- Wednesday, December 11- Review and questions

Exam 3 as scheduled during Dec. 13, 16, 17- “Finals.” Closed book and notes; formulas and tables provided.

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