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OKLAHOMA CITY UNIVERSITY
MEINDERS SCHOOL OF BUSINESS
ECON 2123
Summer 2009
COURSE: Business Statistics
COURSE SCHEDULE: Online
CLASS LOCATION: Online
COURSE PREREQUISITE: College Algebra or Graduate Standing
CURRICULUM REQUIREMENT: This course is a foundation course for MBA
program.
INSTRUCTOR: Dr. Mahmood Shandiz, Senior Associate Dean and Professor of
Management Science.
OFFICE LOCATION: Meinders School of Business Building, Room 325 F
OFFICE PHONE: 405-208-5130
FAX NUMBER: 405-208-5098
Email: [email protected]
Office Hours: By appointment.
REQUIRED TEXTS: David M. Levine, Mark L. Berenson, and David Stephan,
Timothy C. Krehbiel, Statistics for Managers Using Microsoft Excel, Prentice- Hall, Inc.,
5th Edition, 2008.
INTRODUCTION: Statistics are used for two primary purposes. The first of these is to
summarize a large group or groups of numbers. The second purpose is to make specific
guesses about the population based upon a sample drawn from that population.
Obviously, if the sample is too small, we cannot say much about the population.
However, with an adequate sample, we can say with good confidence that a particular
thing is a characteristic in most of the population.
COURSE DESCRIPTION: This course will provide the student with some of the basic,
rudimentary tools used to organize, summarize, and present a large group or groups of
numbers in a data set and to make inferences about the population that the data has been
collected from. It will also show the student how to create hypotheses and test them.
Statistical analysis can very quickly become mind-boggling. It is therefore essential that
the student prepare adequately before class, and request clarification should the topics
become too complex or vague for understanding. This course also examines a variety of
techniques with focus on understanding the reasons the technique was chosen and what
the results mean. This course will emphasize the use of computer. The use of spreadsheet
will be integrated into all aspects of this course. Therefore, the focus of the course will be
the application of the theories and formulas to a functional area of business by utilizing
computer, getting the solutions and results, and the interpretation of results.
COURSE OBJECTIVES: The main objective of this course is to prepare the students to
analyze data using computer. The other objectives of the course are to provide students
with hands-on, practical experience using microcomputers, discussing possible
applications and to feature instruction in using today's most widely commercial
applications software such as Spreadsheets. Therefore, this course is designed to assist the
student in acquiring the knowledge and ability to put microcomputers to work. At the
end of this course the student should be able to:
 collect and present statistical data
 identify and apply various statistical distributions in business


formulate and solve problems based on probability theory
sample, test the hypothesis, forecast, and manage real data sets


solve statistical problems and interpret the results
use spreadsheet software to solve statistical problems
METHODS: During this course you will use your textbook extensively. You will take
numerous quizzes on line, and you will take two tests. The course is designed for the
students who are very motivated to study by themselves and who are very disciplined to
meet deadlines for assignments and quizzes. Dates and times are based on Oklahoma City
time zone (CT).
COURSE REQUIREMENTS: The final course grade will be comprised of the
following elements:
Quizzes and Assignments
30%
Midterm Examination
35%
Final Examination
35%
Two exams will be used to test your knowledge of the material presented in the course.
The tests will be straightforward, covering reading assignments and quizzes. The tests
consist of questions concerning the application of the statistical concepts. The final will
be comprehensive.
CHEATING AND PLAGIARISM POLICY: It is expected that all students will
practice honesty in their work. Copying in part or in whole of another student's work is
absolutely unacceptable. If you use someone else's ideas, they must be correctly cited.
Plagiarism is grounds for failure and for dismissal from the university.
GRADING SCALE: The following scale will be used to assign students’ grades:
92.50 -100.00=A
90.00 - 92.49=A87.50 - 89.99=B+
82.50 - 87.49=B
80.00 - 82.49=B77.50 - 79.99=C+
72.50 - 77.49=C
70.00 - 72.49=C67.50 - 69.99=D+
62.50 - 67.49=D
60.00 - 62.49=DAny grade below 60 will be an F not an I or W.
INCOMPLETE GRADE POLICY: Oklahoma City University's incomplete grade
policy stated in the university bulletin is as follows: "Incomplete grades should only be
given if extraordinary circumstances (beyond the student's control) occur that preclude
students from completing the course. They should not be given to students who have not
completed assignments because of their own propensity to procrastinate."
MAKE-UP POLICY: If you miss an assignment, a quiz, or a test, there would be a zero
credit for the portion of the course. There is no make-up for any portion of this course.
This syllabus is considered to be a course contract between the student and the professor.
Please examine the contents of this syllabus very carefully and ask questions if you have
any problem with any part. I wish you a successful semester. Welcome to BSAD5043.
DISCLAIMER: “If you need an accommodation due to disability under the Americans
with Disabilities Act, please contact the Student Health and Disabilities Service Office
immediately at 405-208-5991 or 208-5090. Advance notice is required for many
accomationas.”
COURSE SCHEDULE and OUTLINE and ASSIGNMENT DEADLINES
This course schedule is organized around the time blocks needed to cover different
statistical concepts:
WEEK ONE- May 21, 2009 -In Class
Chapter 1 Introduction and Data Collection
Quiz # 1
Chapter 2 Presenting Data in Tables and Charts
Quiz # 2
Week 1 Assignment
WEEK TWO- May 28, 2009 -Online
Chapter 3 Numerical Descriptive Measures
Quiz # 3
Week 2 Assignment
WEEK THREE- June 4, 2009 -In class
Chapter 4 Basic Probability
Quiz # 4
Chapter 5 Some Important Discrete Probability Distributions
Quiz # 5
Week 3 Assignment
WEEK FOUR- June 11, 2009 -Online
Chapter 6 The Normal Distribution and Other Continuous Distributions
Quiz # 6
Week 4 Assignment
WEEK FIVE- June 18, 2009 –In class
Chapter 7 Sampling and Sampling Distributions
Quiz # 7
Week 5 Assignment
WEEK SIX- June 25, 2009 –Online
Chapter 8 Confidence Interval Estimation
Quiz # 8
Week 6 Assignment
WEEK SEVEN- July 2, 2009 –In Class
Chapter 9 Fundamentals of Hypothesis Testing: One-Sample Tests
Quiz # 9
Week 7 Assignment
WEEK EIGHT- July 9, 2009 –Online or In Class As Needed
Chapter 10 Two-Sample Tests with Numerical Data
Quiz #10
Chapter 13 Simple Linear Regression
Quiz # 11
Week 8 Assignment
COURSE OUTLINE
WEEK ONE
Introduction and Data Collection
Upon completion of this block , the student will be able to:
1.
2.
3.
4.
To
To
To
To
understand how statistics is used in business
identify sources of data
distinguish between different survey sampling methods
understand the different measurement scales
WEEK ONE
Presenting Data in Tables and Charts
Upon completion of this block , the student will be able to:
1.
2.
3.
4.
To
To
To
To
organize numerical data
develop tables and charts for numerical data
develop tables and charts for categorical data
understand the principles of proper graphical presentation
WEEK TWO
Numerical descriptive Measuers
Upon completion of this block , the student will be able to:
1. To describe the properties of central tendency, variation, and shape in
numerical data
2. To construct and interpret a box-and-whisker plot
3. To calculate descriptive summary measures from a population
4. To calculate and interpret the coefficient of correlation
WEEK THREE
Bsaic Probability
Upon completion of this block , the student will be able to:
1. To understand basic probability concepts
2. To understand conditional probability
3. To use Bayes’ theorem to revise probabilities
WEEK THREE
Some Important Discrete Probability Distributions
Upon completion of this block, the student will be able to:
1.
2.
3.
4.
To understand the properties of a probability distribution
To compute the expected value and variance of a probability distribution
To calculate the covariance and understand its use in finance
To understand how to compute and be able to use the probabilities from
binomial, hypergeometric, and Poisson distributions to solve business
problems
WEEK FOUR
The Normal Distribution and Other Continuous Distributions
Upon completion of this block, the students will be able to:
1. To compute probabilities from the normal distribution
2. To use the normal probability plot to determine whether a set of data is
approximately normally distributed
3. To compute probabilities from the uniform distribution
4. To compute probabilities from the exponential distribution
5. To understand the concept of the sampling distribution
6. To compute probabilities related to the sample mean and the sample
proportion
7. To understand the importance of the central limit theorem
WEEK FIVE
Sampling and Sampling Distributions
Upon completion of this block, the students will be able to:
1. Develop the concept of a sampling distribution for both quantitative and
qualitative data by utilizing the central limit theorem for normal and nonnormal populations.
2. Understand the concept of sampling error.
WEEK SIX
Confidence Interval Estimation
Upon completion of this block, the student will be able to:
1. To develop confidence interval estimates for the mean and the proportion
2. To determine the sample size necessary to obtain a confidence interval estimate for
the mean or proportion
3. To use confidence interval estimates in auditing
WEEK SEVEN
Fundamentals of Hypothesis Testing: One-Sample Tests
Upon completion of this block, the student will be able to:
1. To understand the basic principles of hypothesis testing
2. To use hypothesis testing to test a mean or proportion
3. To evaluate the assumptions of each hypothesis-testing procedure, and know
the consequences if the assumptions are seriously violated
4. To avoid the pitfalls involved in hypothesis testing
5. To understand the ethical issues that may be involved
WEEK EIGHT
Two-Sample Tests with Numerical Data
Upon completion of this block, the student will be able to:
1. To use hypothesis testing for
two independent groups
2. To use hypothesis testing for
3. To use hypothesis testing for
4. To use hypothesis testing for
of two independent groups
comparing the difference between the means of
related samples
testing the difference between two proportions
comparing the difference between the variances
WEEK EIGHT
SIMPLE REGRESSION
Upon completion of this block, the student will be able to:
1. Develop the simple linear regression and correlation model as a means of
using one variable to predict another variable.
2. Measure the strength of association between these two variables.
3. Apply various inferential procedures to test the significance of the model.
4. Predict the value of a dependent variable.
5. Use the concept in time series analysis.
6. Use computer to forecast and examine variable relationships and
interprethe printout.