64005-600 Patuwo
MBA Statistics – MIS 64005-600 1 Fall 2014
MIS 64005-600 Statistics for Management CRN#16169
Fall 2014 Stark Campus
Wednesday 6:35 – 9:20 Fine Arts Building Room 34B
Instructor : Dr. B. Eddy Patuwo
Office : A-403 BSA-Kent Campus
Office Hours : Monday 11:30am-2:00pm, Thursday 2:30 – 5:00 pm. and other times by appointment
E-mail : epatuwo1@kent.edu
Telephone : 330-672-1163
Text Book : Business Statistics, 2nd edition with MyStatLab, by Robert A. Donnelly, Jr., Pearson, 2015
I ordered the loose-leaf version bundled with MyStatLab – it’s cheaper. You may get it from the bookstore, online or directly from Pearson:
http://www.mypearsonstore.com/bookstore/business-statistics-books-a-la-carte-plus-new-mystatlab-9780133852288
MyStatlab: The homework for the class will be done through Mystatlab. Details later.
Go to www.mystatlab.com, register/sign in, and then click on the name of the course: MBA Statistics – Fall 2014
Textbook Website: http://www.pearsonhighered.com/donnelly
All other course material will be posted on Blackboard: learn.kent.edu
Statistical Software – We will use JMP (the friendly version of SAS. To get a copy of JMP, please go to
http://e5.onthehub.com/WebStore/ProductsByMajorVersionList.aspx?ws=6d45cdbb-3de6-dc11-8873-0030485a6b08&vsro=8
Kent State University licensing provides this software at no cost to you. Please access the extensive help menu system in JMP to learn how to use it. Also, the multimedia lectures show you how to use JMP for various topics. A complimentary webcast on learning JMP is being offered: http://www.jmp.com/about/events/webcasts/
Mystslab also has videos how to use JMP on certain topics.
Course Description: 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 knowledge to different problems. The goal of the course is for students to understand fundamental statistical concepts and methods, and their applications.
Learning Objectives:
1. Understand the basic concept of data: how to represent them using charts/graphs and tables, and the summary measures used to represent them.
2. Understand the concept of population, sample and sampling methods.
3. Understand the basic probability theory which is the foundation of understanding statistics: Random variable and its distribution.
4. Know how to estimate sample mean and sample proportion using confidence interval.
5. Know how to do hypothesis testing: the logic and the process.
6. Know how to do compare two means and two proportions.
7. Know how to do simple and multiple linear regressions and model building.
Prerequisites: graduate standing.
MBA Statistics – MIS 64005-600 2 Fall 2014
Course Logistic:
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. Homework will be done on Mystatlab and assigned later.
Projects. There will be 2 or 3 projects for this class. These projects will test your understanding in using statistics to analyze, interpret, and present information from data. These projects will require you to use JMP. The projects and their due dates will be assigned later in class.
Tests. There are 3 or 4 open-book open-note tests.
Grading: Homework = 30%
Project = 30%
Tests = 40%
The following table gives you the minumum percentage for each grade.
Grade
Percentage
Grade
Percentage
A
90%
C
70%
A-
87%
C-
67%
B+
83%
D+
63%
B
80%
D
60%
B-
77%
F
Below 60%
C+
73%
For Fall 2014, the course withdrawal deadline is Sunday November 2, 2014. Withdrawal before the deadline results in a "W" on the official transcript; after the deadline a grade must be calculated and reported.
The Following Policy Apply to All Students in this Course
A. Prerequisite: Students attending the course who do not have the proper prerequisite risk being deregistered from the class.
Enrollment: Students have responsibility to ensure they are properly enrolled in classes. You are advised to review your official class schedule (using Student Tools on FlashLine) during the first two weeks of the semester to ensure you are properly enrolled in this class and section. Should you find an error in your class schedule, you have until Sunday, September 7, 2014 to correct the error. If registration errors are not corrected by this date 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.
B. 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 may result in dismissal from the University.
C. Students with disabilities: University policy 3342-3-18 requires that students with disabilities be provided reasonable accommodations to ensure their equal access to 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 http://www.kent.edu/sas/index.cfm for more information on registration procedures).
MBA Statistics – MIS 64005-600 3 Fall 2014
Fall 2014 - Tentative Class Schedule
Dates Topics
Aug. 27 Chapter 1 – Introduction to Business Statistics
Sept. 3 Chapter 2 – Displaying Descriptive Statistics
Chapter 3 – Calculating Descriptive Statistics – Summary Measures
Sept. 10 Chapter 4 – Basic Probability Theory
Sept. 17 Chapter 5 – Discrete Probability Distributions
Sept. 24 Chapter 6 – Continuous Probability Distributions
Oct. 1 Chapter 7: Sampling and Sampling Distributions
Oct. 8 Chapter 8: Confidence Intervals
.
Oct 15 Chapter 9: Hypothesis Testing for a Single Population
Oct. 22 Chapter 10: Hypothesis Tests Comparing Two Populations
Oct. 29 Chapter 14: Correlation and Simple Linear Regression
Nov. 5 Chapter 14: Correlation and Simple Linear Regression
Nov. 12 Chapter 15: Multiple regression and Model Building
Nov. 19 Chapter 15: Multiple regression and Model Building
Nov. 26-30 Thanksgiving Recess
Dec. 3 Complete and turn in Project: Due before Midnight on Thursday, December 4, 2014
Dec. 10 Test4 – Final exam
