Fundamental of Business Statistics: M&IS 24056 - 010

Summer I 2009

Section 010 (Call No. 10061): Mon, Tue, Wed, Thu,  2:15 – 4:10 p.m., Room BSA-210

Instructor            : Dr. B. Eddy Patuwo

Office                   : A-403 BSA

Office Hours      : Monday – Thursdays, 12:15 – 1:30 p.m., and by appointment

Telephone          :  330-672-1163

E-mail                   : epatuwo1@kent.edu

Text Book            : Basic Business Statistics: Concepts and Applications, 11^th edition, by Berenson Levine and Krehbiel,                         Pearson/Prentice Hall, 2009 (KSU Edition).  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, MS Excel, and PHStat2 in the text book CD ROM.

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, problems and solutions 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 ideas and concepts in statistics.

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

·         Quizzes. There are 4 quizzes for this class (10-15 minutes each). Each quiz is worth 10 points; Total = 40 points.

·         Projects. There are 3 projects for this class. These projects will test your understanding of using statistics to analyze, interpret, and present information from data. These projects will require you to use SPSS in the business computer lab.  Each Project is 20 points; Total = 60 points.  The projects and their due dates will be assigned in class.

·         Tests. There are  4 open-book  open-note tests. Each test is 100 points; Total = 400 points. 

·         Grading. The tests (4 x 100 = 400 points), quizzes (40 points) and projects (60 points) have a maximum of 500 points. The following table gives you the points required for each grade.

·         For Summer I, 2009 the course withdrawal deadline is Monday, July 6, 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://vista8.kent.edu or http://flashline.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 no later than Thursday, June 18, 2009 for Summer I.  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 – Summer I,  2009

June 15                         Chapter 1. Introduction & Data collection                                          All

June 16                         Chapter 2. Presenting Data: Tables and Charts                                   All

June 17                         Chapter 3. Numerical Descriptive Measures                                       All

                                    (Descriptive Statistics –Numerical summaries of data)

June 18                         Quiz #1 (10 minutes)

June 18                         Chapter 4. Basic Probability Theory                                                    Sections 1 – 3

June 22                                    Quiz #2 (10 minutes)

Jue 22                          Chapter 5. Discrete Probability Distribution (Binomial and Poisson) Sections 1 - 4

June 23                                   Test 1 : Chapters 1-5

June 24                                    Chapter 6. Continuous Distribution (Normal, Uniform and exponential)       All

June 25                                    Chapter 7.  Sampling and  Sampling distribution                                Sections 1 – 5

June 29                                    Quiz #3 (10 minutes)

June 29, 30                   Chapter 8. Confidence Interval Estimation                                         Sections 1 - 6

July 1                          Test 2 : Chapters 6, 7, 8

July 2, 6                       Chapter 9. Hypothesis Testing – One Sample Test                            All

July 7                           Quiz #4

July 7                           Chapter 10: Hypothesis Testing – 2 samples                                       Sections 1-2

July 8                          Test 3 (Chapters 9 and 10)

July 13, 14, 15               Chapter 13: Simple Linear regression                                                  All

                                    Chapter 14: Multiple Regression (???)                                                 Sections 1 - 4

July 16                          Test  4 (Chapter 13 and maybe 14)