M&IS 24056 Summer 2008 Patuwo
Fundamental of Business Statistics: M&IS 24056 - 010
Summer I - 2008
Section 010 (Call No. 10070): 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 : There is no required text book for this class. All materials needed for the course are available
through VISTA. An OPTIONAL text book for the course is: Basic Business Statistics: Concepts
and Applications, by Berenson Levine and Krehbiel, Pearson/Prentice Hall, 2009
Software : SPSS in Computer Lab
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.
Learning Objectives: After completing this course, a student should be able to understand basic statistical concepts and their
applications. Specifically,
- How to organize and describe data.
- How to develop summary data measures, and learn to interpret these measures
- Understand basic probability concepts
- Understand the t and standard normal distributions
- Understand concept of sampling distributions, especially as applied to the sample mean
- Use sampling distributions to develop confidence intervals for the population mean
- Use sampling distributions to do hypothesis testing for the population mean
- Understand and apply the concepts of Linear Regression and Correlation Analysis
- How to interpret data and information presented in real-world examples
- How to understand the context of the above statistical techniques in real-world examples
Class Policy:
· Lecture. It is very important for you to attend every lecture. This will help you to better understand the important statistical concept.
· Homework. There will be 5 homework given throughout the session. Details of the homework and their due dates will be given in class. No late homework will be accepted. The homework will be worth 50 points (10 points each).
· Test. There will be 4 open-book, open-note tests. Please see class schedule for test dates.
· Grading. The tests (4 x 100=400 points) and the homework (50 points) have a maximum of 450 points. The following table gives you the points required for each grade.
|
Grade
|
Points
|
|
Grade
|
Points
|
|
A
|
400 - 450
|
|
D |
250 – 299
|
|
B
|
350 – 399
|
|
F
|
Below 250
|
|
C
|
300 – 349
|
|
|
|
· Note that there is NO extra credit for this class.
· For Summer I 2008 the course withdrawal deadline is Monday, June 30, 2008. Withdrawal before the deadline results in a "W" on the official transcript; after the deadline a grade must be calculated and reported.
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 Tuesday, May 20, 2008 for Intersession 2008 – Thursday, June 12 for Summer I – Sunday, June 15 for Summer II - and Thursday, July 17 for Summer III. 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 be cheating when one cooperates with another 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 may 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 equal access course content. If you have 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 Disability Services (contact 330-672-3391 or visit www.kent.edu/sds for more information on registration procedures).
Tentative Class Schedule – Summer I - 2008
Dates Topics Optional Text Book
June 9, 10, 11, 12 Chapter 1: Describing data
Chapter 2: Numerical summaries of data
Chapter 3: Probability theory
Monday, June 16 Test 1
June 17, 18, 19 Chapter 4: Sampling distribution
Chapter 5: Estimating population mean
Monday, June 23 Test 2
June 24, 25, 26, 30 Chapter 6: Hypothesis Testing
Tuesday, July 1 Test 3
July 2, 3, 7, 8, 9 Chapter 7: Linear regression and correlation
Thursday, July 10 Test 4
