OAKTON COMMUNITY COLLEGE
GENERIC COURSE SYLLABUS
I.
II.
Course
Prefix
Course
Number
Course
Name
MAT
190
Business Statistics
Credit:
Lecture
Lab
4
4
0
Prerequisites:
MAT 140 with a grade of C or better.
III.
Course (Catalog) Description:
Course introduces modern statistics and is designed for business students. Content includes
descriptive statistics, probability, statistical inference, sampling techniques, correlation, regression,
and analysis of variance. Course incorporates use of technology when appropriate.
IV.
Learning Objectives:
1. Compute measures of central tendency and dispersion.
2. Construct, interpret, and graph frequency distributions.
3. Calculate and interpret probabilities using sample spaces, independence, and
counting formulas.
4. Create, analyze and interpret probability distributions, including the binomial
distribution.
5. Use z-scores to compute probabilities from normal distributions.
6. Apply the Central Limit Theorem to solve problems involving sampling distributions
of the sample mean.
7. Use confidence intervals to estimate a population parameter, including means and
proportions.
8. Use hypothesis testing to determine if a hypothesis about a population parameter
should be rejected.
9. Draw statistical inferences about a single population’s mean, standard deviation,
variance, and proportion.
10. For two populations, draw statistical inferences about the difference of their
means, standard deviations, variances, and proportions.
11. Calculate and apply linear correlation coefficients and regression lines.
12. Draw statistical inferences about multinomial experiments and contingency tables.
13. Draw statistical inferences about three or more populations using analysis of
variance.
14. Use technology to solve applications drawn from the topics presented in class.
V.
Academic Integrity:
Students and employees at Oakton Community College are required to demonstrate academic
integrity and follow Oakton’s Code of Academic Conduct. This code prohibits:

cheating,
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plagiarism (turning in work not written by you, or lacking proper citation),
falsification and fabrication (lying or distorting the truth),
helping others to cheat,
unauthorized changes on official documents,
pretending to be someone else or having someone else pretend to be you,
making or accepting bribes, special favors, or threats, and
any other behavior that violates academic integrity.
There are serious consequences to violations of the academic integrity policy. Oakton’s policies
and procedures provide students a fair hearing if a complaint is made against you. If you are found
to have violated the policy, the minimum penalty is failure on the assignment and, a disciplinary
record will be established and kept on file in the office of the Vice President for Student Affairs
for a period of 3 years.
Details of the Code of Academic Conduct can be found in the Student Handbook.
VI.
Outline of Topics:
A.
Descriptive Methods
1.
2.
3.
B.
Basic Probability Theory
1.
2.
3.
C.
Sample spaces, counting, factorials
Combinations, permutations
Probability laws
Probability Distributions
1.
2.
3.
D.
Frequency distributions and graphing
Measures of location - mean, median, quartiles, percentiles
Measures of variation - variance, standard deviation
Normal distribution and normal curve
Binomial distribution and its relation to the normal distribution
Random samples and sampling techniques
Statistical Inference
1.
2.
3.
4.
5.
6.
7.
Estimation
The classical approach to hypothesis testing
The probability - value approach to hypothesis testing
Inferences involving one population with regard to means, standard deviation or
variance, and proportions
Inferences involving two populations with regard to means, standard deviation or
variance, and proportions
Coefficient of correlation and regression lines
Multinomial experiments and contingency tables
2
8.
VII.
Analysis of variance
Methods of Instruction:
(To be completed by instructor)
Methods of presentation can include lectures, discussion, demonstration, experimentation, audiovisual aids, group work, and regularly assigned homework. A TI-83 or 84 graphics calculator will
be used for instructional purposes. Other technology will be used when appropriate.
VIII.
Course Practices Required:
(To be completed by instructor)
Course practices can include attendance, assignments, special projects, classroom activities and
assessments.
Course may be taught as face-to-face, media-based, hybrid or online course.
IX.
Instructional Materials:
Note: Current textbook information for each course and section is available on Oakton's Schedule
of Classes. Within the Schedule of Classes, textbooks can be found by clicking on an individual
course section and looking for the words "View Book Information".
Textbooks can also be found at our Mathematics Textbooks page.
Other Required Materials: A TI-83 or higher model graphics calculator.
X.
Methods of Evaluating Student Progress:
(To be completed by instructor)
Evaluation methods can include graded homework, quizzes, chapter or major tests, individual or
small group projects, calculator/computer projects and a final examination.
XI.
Other Course Information:
Individual instructors will establish and announce specific policies regarding attendance, due dates
and make-up work, incomplete grades, etc.
If you have a documented learning, psychological, or physical disability you may be entitled to
reasonable academic accommodations or services. To request accommodations or services, contact
the Access and Disability Resource Center at the Des Plaines or Skokie campus. All students are
expected to fulfill essential course requirements. The College will not waive any essential skill or
requirement of a course or degree program.
3
Effective beginning term: Fall 2014
(term) (year)
Ending term ___________
(term) (year)
Syllabus prepared by: 2013-14 Math Syllabus Committee
(chair: P. Boisvert)
Date
Mar 2014
Reviewed by Dept/Program Chair: J. Hassett
Date
Mar 2014
Approved by Dean: R. Sompolski
Date
Mar 2014
4