Fundamental of Business Statistics: M&IS 24056

Spring 2009

Section 001 (CRN: 10494): Tue, Thu,  2:15 – 3:30 p.m., Room Bowman-137

Section 002 (CRN: 10500): Tue, Thu,  5:30 – 6:45 p.m., Room BSA-200

Instructor             : Dr. B. Eddy Patuwo

Office                    : A-403 BSA

Office Hours       : Tuesday, Thursdays 12:00 – 2:00 p.m. 3:30-4:00 p.m., and by appointment

Telephone            :  330-672-1163

E-mail                   : epatuwo1@kent.edu

Text Book       : Basic Business Statistics: Concepts and Applications, by Berenson Levine and Krehbiel,                                         Pearson/Prentice Hall, 2009. Power Point Lecture slides are available on Vista. Please download, print

                           and bring them to class to save you time from taking notes.

Software         :  SPSS in Computer Lab, Excel and PHStat2 in the CD ROM that comes with the book.

Prerequisites       : Math 11011 (Algebra). You risk deregistration if you have not completed the course prerequisite.

Course Objectives:  This course introduces the basic concepts in statistics and their applications to real-world            problems. This course will examine both the theoretical and practical side of statistics. Students will be    given ample opportunities to apply the concepts to variety of problems. The goal of the course is for

            Students to understand fundamental statistical concepts and methods, and their applications.

Class Time:  Class time will be devoted to lectures, projects, and problems that are designed to improve your understanding of the subject matter.  As with any new subject, comprehension improves with greater exposure.

Class Policy: 

·         Lecture. It is very important for you to attend every lecture. This will help you to better understand important statistical concepts.

·         Homework. There is no homework for this class. However, you should attempt the even problems at the end of the chapters.  The solutions to these problems are given at the end of your text book.

·         Quizzes. There are 7 on-line quizzes for this class. Each quiz is worth 20 points. The amount of time allotted for each quiz may vary, but will typically be around 25 minutes. You will have two attempts to take each quiz. The average result of the two attempts will be your score for that quiz. If you are happy with your first attempt, there is no need to take the second attempt.  Results for the quizzes will be known immediately. Only the best 6 quizzes will be considered for your grade. Thus, the maximum total point from quizzes is 120.

·         Projects. There will be between 2 and 4 projects in class. These projects will test your understanding of using statistics to analyze, interpret, and present information from data. These projects will require the use of statistical software. While we will be using SPSS in class, you are welcome to use any statistical software. The maximum points from all projects combined will be 80. These projects will be assigned in class.

·         Tests. There will be 4 open-book, open-note tests (including one optional final exam). The test with the lowest score will be dropped; only 3 tests (100 points each) will be counted. There is no make up for missing tests, quizzes and projects.

·         Grading. The tests (3 x 100 = 300 points), quizzes (120 points) and projects (80 points) have a maximum of 500 points. The following table gives you the points required for each grade.                                                  

·         Extra Credit. Periodically, you may be given additional homework/quizzes in class or online, each of which will count as extra credit towards your final grade. It is in your best interest to attend class regularly.

·         For Spring 2009 the course withdrawal deadline is Sunday April 5, 2009.  Withdrawal before the deadline results in a "W" on the official transcript; after the deadline a grade must be calculated and reported.

How to Access and Use Your Course Web Site 

1. The SPSS statistical software is freely available in the business school computer labs (second floor).
2. Power Point slides, Information for the quizzes, projects and grades are on Vista:  http://vista.kent.edu
3. Dates and details for quizzes and projects will be announced in class
4. Please check announcements and your emails regularly

The Following Policies Apply to All Students in this Course

A.    Prerequisite: Students attending the course without the proper prerequisite risk being deregistered from the class.

B.    Enrollment: Students have responsibility to ensure they are properly enrolled in classes.  Should you find an error in your class schedule, you need to correct the error with your advising office within the first week of class.  If registration errors are not corrected by these dates and you continue to attend and participate in classes for which you are not officially enrolled, you are advised now that you will not receive a grade at the conclusion of the semester for any class in which you are not properly registered.

C.    Academic Honesty: Cheating means to misrepresent the source, nature, or other conditions of your academic work (e.g., tests, papers, projects, assignments) so as to get undeserved credit.   In addition, it is considered to cheating when one cooperates with someone else in any such misrepresentation.  The use of the intellectual property of others without giving them appropriate credit is a serious academic offense.  It is the University's policy that cheating or plagiarism result in receiving a failing grade for the work or course.  Repeat offenses result in dismissal from the University.

D.    Students with disabilities:  University policy 3342-3-18 requires that students with disabilities be provided reasonable accommodations to ensure their equal access course content.  If you have a documented disability and require accommodations, please contact the instructor at the beginning of the semester to make arrangements for necessary classroom adjustments.  Please note, you must first verify your eligibility for these through the Student Accessibility Services (contact 330-672-3391 or visit www.kent.edu/sas for more information on registration procedures).

Tentative Class Schedule – Spring 2009

Jan 20                          First day of class                                                                                 

Jan 22                          Chapter 1. Introduction & Data collection                                          All

Jan 27, 29                     Chapter 2. Presenting Data: Tables and Charts                                   All

Feb 3, 5                        Chapter 3. Numerical Descriptive Measures                                       All

                                    (Descriptive Statistics –Numerical summaries of data)

Feb 10, 12                     Chapter 4. Basic Probability Theory                                                    Sections 1 - 3

Feb 17, 19                     Chapter 5. Discrete Probability Distribution (Binomial and Poisson) Sections 1 - 4

Feb 19, 24                    Chapter 6. Continuous Distribution (Normal and exponential)          All

Feb 26                         Test 1 : Chapters 1-6

Mar 3, 5                       Chapter 7.  Sampling and  Sampling distribution                                Sections 1 - 5

Mar 10, 12                    Chapter 8. Confidence Interval Estimation                                         Sections 1 - 6

Mar 17, 19                    Chapter 9. Hypothesis Testing – One Sample Test                            All

Mar 23-29                    Spring Recess

Mar 31,                        Chapter 9. Hypothesis Testing – One Sample Test (continue)

April 2                          Review

April 7                         Test 2 (Chapters 7, 8 and 9)

Apr 9, 14                      Chapter 10: Hypothesis Testing – 2 samples                                       All

Apr 16, 21, 23               Chapter 13: Simple Linear regression                                                  All

April 28, 30                  Chapter 14: Multiple Regression                                                         Sections 1 - 4

                                    (Optional - Chapter 15: Multiple Regression – Model Building)                                            

May 5                          Review

May 7                          Test  3 (Chapters 10, 13, 14)

Optional Final Exams Schedule:         Section 001:  Tuesday, May 12,   12:45 - 3:00 p.m. in Bowman 137

                                                            Section 002:  Tuesday May 12,      5:45 - 800 p.m. in BSA 200