ECO 252 QUANTITATIVE BUSINESS ANALYSIS II SYLLABUS

SUMMER 2011

COLLEGE OF BUSINESS & PUBLIC AFFAIRS

WEST CHESTER UNIVERSITY

Instructor : Dr. Thomas Andrews

Office : 313 Anderson Hall

Phone : 610-436-1082

E-mail : Tandrews@wcupa.edu

Class Time : TR 6-10

Classroom : AND215

Office Hours : TR  5:00Pm-6:00Pm

web page:  http://courses.wcupa.edu/tandrews/

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 and interpret the results.

COURSE OBJECTIVES

• To review normal sampling distributions and learn estimation using confidence intervals.  (Chapters 6, 7 and 8)  This includes sampling distribution of the mean, proportion and standard errors, and confidence intervals for the mean with known and unknown population standard deviation.
• To learn how to develop testable hypotheses.  (Chapter 9)
• 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.  (Chapter 9)
• 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. (Chapters 10 and 12)
• 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, multicollinearity, analysis of residuals, and dummy variables. (Chapters 13 and 14)
• To learn how to design an experiment and use ANOVA to test multiple sample means. (Chapter 11)
• To learn to use the chi-square test to analyze contingency. (Chapter 12)
• Communicate information of an economic nature through written presentation.
• Use excel and other statistical software to present and analyze economic problems.
• Gather information and critically analyze an economic issue.

PREREQUISITES

To be successful in this course, students must be able to manipulate data and formulas using a spreadsheet package such as Excel.  Other prerequisites are: MAT105 or MAT107 or MAT110 or MAT108, and ECO111 or ECO112.

COURSE MATERIAL

The textbook is

Berenson, Levine and Krehbiel, Basic Business Statistics: Concepts and Applications, Custom edition for WCU, ISBN: 978-0-558-12097-9

Midterm 1                                            20%

Midterm 2                                            20%

Final Exam                                           20%

HW Assignments  (including class notes) 20%

Project                                                  20%

There will be two mid-term exams and one final exam in this course. Students are responsible what has been covered in class.

Homework

Students will be assigned a minimum of 4 homework assignments on the quizzes section of d2L.  In addition, students are required to keep class notes in their drop box in D2L.  These notes will be assessed for accuracy and completeness.

PROJECT

Students must provide typed on a word processor the following:

1. A cover page with name of student, name of course, course numbers, and semester of course.

2. Each student should collect at least 50 observations per column, at least four columns from primary, reliable and published sources or their own data.

• One column is the dependent variable, Y value which is explained by independent variables.
• Independent variables are used to explain dependent variable. There must be at least three independent variables, including at least one dummy variable.
• Examples of published sources are the diskette in textbook, data from own employer, US Bureau of Labor Statistics, US Bureau of the Census, Moody’s Handbook of Common Stocks, New York Stock Exchange, National Bureau of Economic Research, Wall Street Journal, Federal Reserve Bank, or internet sources such as finance.yahoo.com, nyse.com etc. Observations should be typed in the columns.

3. Detailed information on sources used and a statistical and written description of the data

4. Run a regression of dependent variable on independent variables. Paste your results into a word document. Interpret the intercept. If the intercept does not have any meaningful explanation, state why it does not have a meaningful explanation.  For each coefficient, write the null and alternative hypothesis to test whether that independent variable has a significant effect on the dependent variable. Interpret all coefficients.  Use the model to make a prediction, and make a statement regarding the accuracy of your results.

5. Computer project is due on July 26 and must be submitted through d2L.  Submit two files 1) an excel sheet containing your data and 2) a word document with the results.  Projects will not be accepted if late, e-mailed, left in professor’s mailbox, or under professor’s office door, and a zero will be assigned for this project.

The determination of your final grade is based on the following scale:

A        93-100           B-        80-82                D+        67-69

A-        90-92                C+        77-79                D        63-66

B+        87-89                C        73-76                D-        60-62

B        83-86                C-        70-72                 F        59 and below

ATTENDANCE POLICY

Students are strongly encouraged to attend every class.

ACCOMMODATIONS

We at West Chester University wish to make accommodations for persons with disabilities. Please make your needs known by contacting me and 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.

NONDISCRIMINATION/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, or disability.

The business faculty is committed to vigorously enforcing the University’s academic dishonesty policy. At a minimum, students will receive a “0” on an assignment; at the maximum, students may be dismissed from the University. Academic dishonesty and plagiarism are defined in the Undergraduate Catalog. In the course project, your work must be entirely your own.

PUBLIC SAFETY PHONE NUMBER: 610-436-3311

COURSE WEB PAGE (follow this link)  You can also reach any information related to course through D2L. Therefore it is your responsibility to check D2L.

FURTHER NOTES

Cell phone use during class is prohibited. Students cannot use their cell phones as calculators during the exam.

TENTATIVE SCHEDULE

This is the planned schedule.  The exam dates may change.

 Dates Course Material Covered Text Material Week of June 28 Review of descriptive statistics, normal distribution and sampling distributions.      Confidence Intervals Chapters 3: Sections 1 and 2, Chapter 6: Sections 1, 2 and 3 and Chapter 7: Section 4Chapter 8: Sections 1 and 2 Week 2 Confidence intervals around proportions; determining sample size;Introduction to hypothesis testingHuman cannonball Chapter 8: Sections 3 and 4 Chapter 9: Section 1 Week 3 Exam #1 (Review material through Confidence Intervals) Hypothesis testingTwo sample hypothesis tests Chapter 9: Sections 1-4 Chapter 10: Sections 1-4 Week 4 Finish one and two sample testsExam #2 ( one and two sample tests)ANOVA CHI-sq week 5 Regression Analysis, Project duefinal exam (regression analysis) Chapters 12 13 and 14 Cases

 Beer data Obesity PPTObesity Data Apples Box office PPTBox office data Deer Published data wikiposit data site

 Interesting Data sites http://www.goodguide.com/ BOWLING ALONE: THE COLLAPSE AND REVIVAL OF AMERICAN COMMUNITY:  In a groundbreaking book based on vast new data, Putnam shows how we have become increasingly disconnected from family, friends, neighbors, and our democratic structures-- and how we may reconnect. http://www.glassdoor.com/index.htm.  Glassdoor is your free inside look at jobs and companies. Salary details, company reviews, and interview questions — all posted anonymously by employees and job seekers.

ECO 252 QUANTITATIVE BUSINESS ANALYSIS II

Professor Thomas Andrews

Summer 2011

I, _____________________________, have read the syllabus and fully understand the academic integrity policy as described herein and by the University.  As defined in the 2010-2011 Undergraduate Catalog of West Chester University, a violation of academic integrity includes the following: plagiarism, fabrication, cheating, academic misconduct, facilitating academic dishonesty, and breach of standards of professional ethics.

The University defines plagiarism as follows: “Plagiarism is the inclusion of someone else’s words, ideas, or data as one’s own work.  When a student submits work for credit that includes the words, ideas, or data of others, the source of that information must be acknowledged through complete, accurate, and specific references and, if verbatim statements are included, through quotation marks as well… Plagiarism covers unpublished as well as published sources.” (West Chester University Undergraduate Catalog, 2010/2011)

I understand that the penalty for engaging in academic dishonesty and/or plagiarism may be expulsion from the business program and/or University. I further understand that it is my responsibility to make sure I understand how to correctly document the words and ideas of others.   Ignorance is not a legitimate defense for plagiarism.

It is our belief that honesty is the foundation of moral and ethical behavior.  Individuals who lead an honest life enhance the lives of themselves, their families, and their neighbors.  By maintaining one’s integrity, one gains the respect of others which is its own reward.

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