University Of Bridgeport

School Of Business

Spring 2005

CAIS 102  Applied Statistics

Learning by Practice

Instructor:          Professor Kueun Choi

Office:           Mandeville Hall, Room 313

Phone:           (203)576-4366

E-mail:           choi@bridgeport.edu

1.  Course Description

Building on the foundation of CAIS 101, this course introduces the students to a wide range of applied statistical applications. Main topics include Sampling, Confidence Interval Estimation, Hypothesis Testing, Statistical Process Control, Analysis of Variance, Simple and Multiple Regression and Correlation Analysis, and Time Series Analysis and Forecasting. The students are required to make extensive applications of Microsoft Excel for data analyses and graphic presentations.

2. Course Objectives

Through a sequence of two semester courses, i.e. CAIS 101 and CAIS 102, the students will be prepared to assume responsibilities in collecting, organizing, and analyzing business data in support of business decision making activities in both private and public sectors.

The statistical techniques to be covered in these two courses are applicable to many decision making problems in the functional areas of accounting, finance, marketing, management, and many other business applications.

Upon completion of this second course, the students will be prepared to:

a.   Conduct market and opinion sample surveys;

b.  Develop confidence interval estimations for population parameters;

c.  Test hypotheses on population parameters;

d.  Develop forecasts based on time series  and regression analyses;

e.  Use Microsoft Excel in support of all the tasks cited above;

3.   Text Book

Lind, Marchal and Wathen,  Basic Statistics for Business and Economics, Twelfth Edition,McGraw-Hill, 2000. ISBN 0-07-286824-4 (Student Edition).

4. Class Policy for the Best Possible Learning Experience

You are encouraged to select and solve any problems and case studies from each chapter listed below that interest you, and present to the class. You are to leave your written papers with me for credits. You are invited to contact me by e-mail in case you need my input or you may consult the prepared solutions that I plan to distribute in class time to time.

Combining the text book and Excel applications, you are likely to find learning to use statistical tools easy and interesting.

5.      Grading Policy and Recognition for Achievement

     Mid-Term Exam                       100 points

      Final Exam                   200 points

      Case Studies / Term Projects       50 points

      Quizzes                                50 points

     Total                            400 points 

You may request for your final grade by e-mail during the final examination week. I will then respond by “Reply e-mail.” This procedure has proven to be most reliable.

All required papers and projects must be submitted one week before the final examination date.

6.   Chapters to be covered