I. Course Prefix/Number: MAT 131
Course Name: Elementary Statistics
Credits: 4 (4 lecture; 0 lab)
III. Course (Catalog) Description
IV. Learning Objectives
B. Construct, do calculations with, and graph frequency distribution.
C. Understand and calculate probabilities.
D. Understand probability distributions, including binomial distribution.
E. Compute probabilities as related to normal distributions.
F. Apply the Central Limit Theorem.
G. Understand the nature of hypothesis testing and estimation.
H. Draw statistical inferences about one population concerning the mean, the standard deviation or variance, and proportions.
I. Draw statistical inferences about two populations concerning the mean, the standard deviation or variance, and proportions.
J. Calculate the linear correlation coefficients and the regression lines.
K. Draw statistical inferences concerning multinomial experiments and contingency tables.
V. Academic Integrity
• 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. Sequence of Topics
1. Frequency distribution and graphing
2. Measures of location - mean, median, quartiles, percentiles
3. Measures of variation - variance, standard deviation
B. Basic Probability Theory
1. Sample space, counting, factorials
2. Combinations, permutations
3. Probability laws
C. Probability Distributions
1. Normal distribution and normal curve
2. Binomial distribution and its relation to the normal distribution
3. Random samples and sampling techniques
D. Statistical Inference
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. Multinomial experiments and contingency tables
VII. Methods of Instruction
Methods of presentation can include lectures, discussion, demonstration, experimentation, audio-visual aids, group work, and regularly assigned homework. Calculators / computers will be used when appropriate.
Course may be taught as face-to-face, media-based, hybrid or online course.
VIII. Course Practices Required
IX. Instructional Materials
Textbooks can also be found at our Mathematics Textbooks page.
A TI-83 or higher numbered graphing calculator will be used for instructional purposes.
X. Methods of Evaluating Student Progress
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 ASSIST office in the Learning Center. 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.