M&IS 24056 Summer 2007 Patuwo
Fundamental of Business Statistics: M&IS 24056
Summer I - 2007
Section 010 (Call No. 12544): Mon, Tue, Wed, Thu, 1:30 – 3:25 p.m., Room BSA-110
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 : Business Statistics 6th edition by Groebner, Shannon, Fry and Smith, Prentice Hall, 2005.
Notes : Notes will be distributed in class.
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 concept of sampling distributions, especially as applied to the sample mean
- Understand the t and standard normal distributions
- 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 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 2007 the course withdrawal deadline is Sunday, July 2, 2007. 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
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. You are advised to review your official class schedule during the first few days of the session to ensure you are properly enrolled in this class and section. Should you find an error in your class schedule, you should correct it with your advising office as soon as possible. If registration errors are not corrected within the scheduled time and you continue to attend and participate in classes for which you are not officially enrolled, 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. 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: In accordance with University policy, if you have a documented disability and require accommodations to obtain equal access in this course, please contact the instructor at the beginning of the semester or when given an assignment for which an accommodation is required. Students with disabilities must verify their eligibility through the Office of Student Disability Services (SDS) in the Michael Schwartz Service Center (330-672-3391).
Tentative Class Schedule – Summer-II 2007
Dates Topics Homework
June 11, 12, 13, 14 Describing data
Numerical summaries of data
Probability theory
Mon June 18 Test 1
June 19, 20, 21 Sampling distribution
Estimating Population mean
Mon June 25 Test 2
June 26, 27, 28 Hypothesis Testing
July 2
Tuesday July 3 Test 3
July 5, 9, 10, 11 Linear regression and correlation
Thursday July 12 Test 4
