252Syll 8/23/05 (Open This Document in 'Page Layout' View )

252syll 8/23/05 (Open this document in 'Page Layout' view )

COURSE SYLLABUS

ECO 252 - QUANTITATIVE BUSINESS ANALYSIS II

Fall 2005

INSTRUCTOR: Dr. Roger Even Bove

OFFICE: Anderson Hall, Room 317d

MAILING ADDRESS: Department of Economics & Finance

West Chester University

West Chester, PA 19383 - 2220

TELEPHONE: 610-436-2134

E-MAIL ADDRESS:

WEBSITE: http://courses.wcupa.edu/rbove/eco252/252key.html

Check this at least once a week for exam hours, problem solutions, changes in

office hours, etc. This site is also accessible through Blackboard.

PREREQUISITES: MAT107, ECO111, ECO112, and ECO251 or MAT121 or the equivalent. You

will be expected to compute sample variances and use a Normal table from the

second meeting of the course. To be successful in this course, Students must be able to manipulate data and formulas using a spreadsheet package such as

Excel. To gain the required spreadsheet skills, students may take CSW101 or

ECO410 - Special Topics – (1 cr.) Using Spreadsheets to Solve Business

Problems. See SKILLS below.

OFFICE HOURS: These hours frequently conflict with faculty meetings. Check the website before coming in.

MW 4:00 – 5:30 PM

TR 3:30 – 5:00 PM

F 1:00 – 2:00 PM

I am also usually available after 5:30 PM Monday and Wednesday afternoons and after 5PM on Tuesday and Thursday afternoons. You are encouraged to come in at your convenience without appointment (Call in advance to be sure that I am in). If you don't understand what is going on in class, please come to my office

REQUIRED TEXTS: Berenson, Mark L., David M. Levine and Timothy C. Krehbiel. Basic Business Statistics, 10th ed. Prentice-Hall, 2005. ISBN 0131852051 (or 9th ed., Prentice-Hall,

2004. ISBN 0131037919). This is available as ISBN 013237114-6 or 013173480-6 (I’m not sure which!)packaged with the following items:

Student Solutions Manual..

Research Navigator..

Dretzke, Statistics with Excel. 2nd ed..

I will update this when I have new information. Purchase of the package is strongly recommended.

Supplementary Materials & Tables For ECO 251 & 252. Available from Dynamic Student Services, 20 Linden St. for about $5.00. Buy this!!!!!!

Douglas Downing and Jeffrey Clark, Business Statistics, 3rd ed. [or 4th ed.] , Barrons Educational Series, 1997. (D and C in outline.) Tell me if a new edition

appears!!!


RECOMMENDED TEXTS: Ryan, Joiner and Ryan, Minitab Handbook, 3rd. ed., Duxbury Press, Boston, 1994.

Larry Gonick and Woolcott Smith, The Cartoon Guide to Statistics, Harper

Collins, 1993 (can be ordered from book or comics stores).

These will be on reserve in the library.

ALSO SUGGESTED: There are a number of statistics and other economics books available for $2 in the Economics Department offices.

COURSE DESCRIPTION: This course teaches students how to develop testable hypotheses and use hypothesis testing to analyze data and answer questions. This course also

covers confidence intervals, analysis of variance, simple regression, multiple

regression, and correlation. The course will stress practical business

applications of statistical theory. Students will be required to perform

regression and an analysis of variance using Excel and another statistical

package (Minitab) and interpret the results.

COURSE OBJECTIVES: Learning Objectives of the course:

1. To review normal sampling distributions and learn estimation using

confidence intervals. This includes sampling distribution of the mean,

proportion and standard errors, and confidence intervals for the mean with

known and unknown population standard deviation.

2. To learn how to develop testable hypotheses.

3. To learn how to test hypotheses about a population mean or population

proportion for both small samples and large samples. Students will also learn

how to test hypotheses about a population variance. Both Type I and Type II

errors will be discussed.

4. To learn how to test hypotheses about two sample means or proportions.

Students will also learn how to determine an adequate sample size and how to

compare two population variances.

5. To learn how to build a multiple regression model and how to test the model

using Excel and another spreadsheet package. Students will learn how to

interpret the results of simple and multiple linear regressions. Discussion will

include model assumptions, collinearity, and dummy variables.

6. To learn how to design an experiment and use ANOVA to test multiple

sample means.

7. To learn to use the chi-square test to analyze contingency.


COURSE REQUIREMENTS: This course requires you to solve problems in homework and tests. Very little learning occurs by just listening in class or reading the text. It is suggested that you get into the problem-solving habit. If you have difficulty with a problem,

ask for an explanation. You will help yourself, promote classroom discussion,

and probably help fellow students in the process. You will also be assigned

several computer problems. Get the help you need on these. Their solutions

and their interpretation will be part of exams. If you fail to hand them in or don't bother to find out what they mean, the instructor will consider himself

apprised of your lack of interest in passing this course. There will also be graded assignments. These are not to be considered optional, but are graded so that they cannot hurt your grade and may help it.

SKILLS: This course includes four skills important for business students: critical thinking, quantitative methods, use of appropriate technology and written communication. In addition to the prerequisites above you are expected to be able to

express yourself in writing. All e-mails to the instructor should be in

grammatically correct but not terribly formal English with the spelling

checked! On exams and other assignments you are expected to turn in legible

and clear papers. You will be given an exercise in Excel in the first few

weeks of the class. Assistance will be available, but you will be expected to

do the work on your own.

EQUIPMENT etc.: Get a decent calculator and read the instruction book! If you need

advice on what to get, ask a Finance instructor. Then get another

calculator as a backup! If both fail you during an exam, talk to the

instructor then, not after you do badly on the exam. Buy a stapler; it will pay for

itself in papers not lost.

Make sure that you have access to a copy of Excel with statistical functions

enabled. To enable statistical functions, enter Excel and use the Tools

pull-down menu. Select Add-Ins and check Analysis Tool Pack and MegaStat.

CLASS CANCELLATION: If the university is not officially closed, assume your class will meet unless

there is a notice on departmental stationary, signed by the chairperson, posted

on the classroom door. If there is any doubt, check with the department secretary on the third floor.

If I am occasionally very late to class, it would be reasonable to send someone

up to inquire in the department office, rather than to assume that there will be no class


EXAMINATION POLICY: University policy is that there is no excused absence from a scheduled examination. Therefore, a scheduled and preannounced exam, which is

missed, will not be made up and a grade of F will be recorded, with the

limited exception of cases in which the absence is wholly involuntary and

unavoidable, and the reason for which is documented by evidence, which can

be verified by the instructor. Practically speaking, such cases normally include

only illness attended by physician or nurse, and unavoidable absences on

official University business. Not included would be absences due to

"oversleeping," "not ready for the exam," "other exams the same day," "change

in outside schedule," "job interview," "extra-curricular club or organization

events," "car wouldn't start," etc. If the exam time is merely inconvenient,

students will be given the opportunity to take the exam early. Nevertheless,

please contact the instructor immediately after any missed exam.

Most exams will be open book. Students may bring any material that they wish to the exam, but experience shows that a concise and well-studied set of notes and formulas works best, though no formula has any value unless you have practiced using it and know that you can get the same values as in the problems and examples done in class. Please DO NOT SHARE MATERIALS during

exams. Though it may be reasonable to discuss questions on take-home exams, copying will be severely punished.

Exams may be given on Tuesdays and Thursdays in the 3:15- 5:15 slot. Arrangements will be made for students who cannot take exams during that hour. Students are normally expected to make up the exam on the day before it

is given. Note: You should not have to cut a class to take one of my exams -

alternate arrangements can be made!

CUT POLICY: I will consider your presence and participation when making up grades. Exams are based on lecture materials and absence is foolhardy. A poor attendance

record will be considered evidence that you do not care about your grade,

and more than three unexcused absences when attendance is taken will

result in a lower grade. Most legitimate excuses are acceptable on a

one-time basis. However, continuous absences due to 'work schedules'

are not! Legitimate excuses are University – Sanctioned events (as

specified in the Ram’s Eye View , illness and family emergencies and do not

include family vacations or hunting trips.

ACADEMIC DISHONESTY: The business faculty is committed to vigorously enforcing the University’s

academic dishonesty policy. At a minimum, students will receive a 0 in an

assignment; at the maximum, students may be dismissed from the University.

Academic dishonesty and plagiarism are defined in the Undergraduate Catalog.

With respect to term papers, projects, and other written work, students must use

quotation marks and reference when using another author’s exact words. Students must also reference when paraphrasing an idea or the words of an author.

EVALUATION POLICY: Student progress in this course is determined by three one-hour examinations

(which will be announced at least one week in advance), a final exam, class

participation and homework evaluations. Primary weight is on the hour exams

(2/9 of grade each) and the final exam (1/3 of grade).

Grading will be on a curve based on numerical scores from these exercises and

the performance of previous classes. Hour exams will be returned with answer

keys. Final grades will not be posted and will be sent to you only if you request them by e-mail. Putting an e-mail address on your exam will not result in a response. Grades are final unless a legitimate mistake is found. Do nor tell me that you need a C for this course! I know! If you get a C- or lower grade, it is because your work deserved a low grade.

ACCOMODATIONS: We at West Chester University wish to make accommodations for persons with

disabilities. Please make your needs known by contacting me and/or the Office of Services for Students with Disabilities at ext. 3217. Sufficient notice is needed in order to make the accommodations possible. The University desires

to comply with the ADA of 1990.

NON-DISCRIMINATION: (Affirmative Action Policy) West Chester University is committed to

providing leadership in extending equal opportunities to all individuals. Accordingly, the University will continue to make every effort to provide these

rights to all persons regardless of race, religion, sex, national origin, ancestry,

age, marital status, sexual orientation, disability, or veteran status. This policy

applies to all members of the University community, including students, staff,

and administrators. It also applies to all applicants for admission or employment and all participants in University-sponsored activities. Any individual having suggestions, problems, complaints or grievances with regard to equal opportunity or affirmative action is encouraged to contact the Director

of Social Equity.

The University prohibits discrimination, including sexual harassment, of any individualbased onrace, color, national origin, sex, sexual orientation, marital status, age, religious creed, disability or veteran status.

COURSE OUTLINE: Berenson et. al. references are all to the 9th or 10th edition . References to other texts in the package will be posted shortly. References to D&C 3rd are in black, changes in 4th edition are in [brackets].

TOPIC AND CHAPTER WEEKS BEGINNING

A. Parameter Estimation (Review) AUG 29

Berenson et. al. Ch. 6, 7, 8 (6.1a and 8.7 are on CD-ROM)

D and C Ch. 10, 11 (pp. 211-219) [235-243], 12

Minitab Ch. 7, 8.1-8.3

B. Hypothesis Testing - 1 Population SEPT 5

Berenson et. al. Ch. 9 SEPT 12

Material on variances in syllabus Supplement.

D and C Ch. 13 (pp. 245-258 [whole chapter])

D and C Ch. 17 [18] (Sign Test material)

Minitab Ch. 8.4 - 8.6, 13.1-13.2

C. Power Functions and Operating SEPT 19

Characteristics

Berenson et. al. Ch. 9.6 (9.7 on CD-ROM in 9th edition)

D. Hypothesis Testing - 2 Populations SEPT 26

Berenson et. al. Ch. 10, (also 12.7-12.8 in 10th ed, 12.1

in 9th ed.) OCT 3

Handout on variances

Minitab Ch. 9, 13.3

D and C Ch. 13 (pp. 259-266) [284-293]

D and C Ch. 17 [18] (Wilcoxon Tests)

E. Chi Squared Tests OCT 10

Berenson et. al. Ch. 12.1-12.6, (Ch. 12.2-12.5

and 12.5 on CD-ROM in 9th edition)

Minitab 12

D and C Ch. 13 (pp. 267-275) [all of Ch. 14]

F. Analysis of Variance OCT 17

Berenson et. al. Ch. 11 (also 12.9-12.10 in 10th ed.)

Minitab Ch. 10, 13.4, 16

D and C Ch. 14 [15], Ch. 17 [18] (Friedman Test, Kruskal-Wallis Test)

G. Curve Fitting OCT 24

Berenson et. al. Ch. 13.1, 13.2

Minitab 11.1-11.2

H. Simple Regression OCT31

I. Confidence Intervals and Tests for Regression NOV 7

Berenson et. al. Ch. 13

D and C Ch. 15 [16]

Minitab Ch. 11.3
J. Multiple Regression NOV 14 Minitab 11.4
Berenson et. al. Ch. 14

D and C Ch. 16 [17]

K. Regression Extensions NOV 21

Minitab 11.7-11.9, 15

Berenson et. al. Ch. 15

D and C Ch. 15 (pp. 343-346) [Ch 16, pp 374-379]

L. Correlation NOV 28

Berenson et. al. Ch. 3.5,13.7, 14.5 (3.6, 13.7, 14.5 in 9th ed.)

M. Time Series Analysis DEC 5

Berenson et. al. Ch. 16

D and C Ch. 18 [19]

N. Bayesian Theory and Decision Making DEC 12

Berenson et. al. Ch. 17 [20]

D and C Ch. 19

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