OAKTON COMMUNITY COLLEGE
GENERIC COURSE SYLLABUS
I.
II.
Course
Prefix
Course
Number
Course
Name
MAT
131
Elementary Statistics
Credit:
4
Lecture
4
Lab
0
Prerequisites:
MAT 080 or 2 semesters of high school geometry with a grade of C or better, and MAT 110 or the
equivalent with a grade of C or better, or an appropriate score on the OCC Mathematics Assessment
Test.
III.
Course (Catalog) Description:
This course is an introduction to modern statistics for students in physical, biological and social
sciences. Frequency distributions, measures of central tendency and variation, elements of probability
theory, statistical inference, sampling techniques, and correlation and regression are studied.
IV.
Learning Objectives:
1. Analyze techniques for data collection and organization
2. Calculate and interpret measures of central tendency and dispersion for individual and frequency
data.
3. Produce and interpret graphs of frequency distributions.
4. Calculate and interpret probabilities
5. Create and interpret probability distributions.
6. Calculate probabilities, mean and standard deviation for the binomial distribution.
7. Determine probabilities and cutoff values for the normal distribution.
8. Apply the Central Limit Theorem to solve problems involving sampling distributions.
9. Produce and interpret confidence intervals for one population parameter including the mean, the
standard deviation or variance, and proportions.
10. Create hypotheses, run hypothesis tests, and draw conclusions for one population parameter
including the mean, the standard deviation or variance, and proportions.
11. Create hypotheses, run hypothesis tests, and draw conclusions for two
population parameters including the mean, the standard deviation or variance, and proportions.
12. Calculate and interpret the linear correlation coefficients and regression lines.
13. Draw statistical inferences using the Goodness- of- Fit Test and Chi-Square Test for Independence.
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,
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 Statistics
1.
Data Collection
2.
Organizing data into frequency distributions
3.
Graphing histograms and ogives
4.
Measures of Central Tendency - mean, median, mode
5.
Measures of variation: variance, standard deviation
6.
Measures of position
B.
Basic Probability Theory
1.
Sample space and counting techniques including combinations
2.
Complements
3.
The Addition rule
4.
Independence and the Multiplication rule
Probability Distributions
1.
Normal distribution and normal curve
2.
Binomial distribution and its relation to the normal distribution
3.
The Central Limit Theorem
Statistical Inference
1.
Estimation
2.
The classical appropriate to hypothesis testing
3.
The probability - value approach to hypotheses testing
4.
Inferences involving one population with regard to means, standard deviation or variance,
and proportions
5.
Inferences involving two populations with regards to means, standard deviation or
variance, and proportions
6.
Coefficient of correlation and regression lines
7.
Goodness of Fit test and Chi Squared test for Independence
C.
D.
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VII.
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. Calculators / computers will be used
when appropriate.
VIII. Course Practices Required:
(To be completed by instructor.)
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.
A graphics calculator is required. A TI-83/84 will be used for instructional purposes
.
X.
Methods of Evaluating Student Progress:
(To be completed by instructor.)
Evaluation methods can include assignments, quizzes, chapter or major tests, individual or group
projects, computer assignments and/or a final examination.
XI.
Other Course Information:
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.
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______________________________________________________________________________
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
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