I. Course Prefix/Number: MAT 190
Course Name: Business Statistics
Credits: 4 (4 lecture; 0 lab)
III. Course (Catalog) Description
IV. Learning Objectives
B. Construct, do calculations with, and graph frequency distributions.
C. Understand and calculate probabilities.
D. Understand probability distributions, including the binomial distribution.
E. Compute probabilities as related to normal distributions.
F. Apply the Central Limit Theorem.
G. Understand and apply 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 linear correlation coefficients and regression lines.
K. Draw statistical inferences concerning multinomial experiments and contingency tables.
L. Draw statistical inferences about more than two populations using analysis of variance.
M. Use technology to facilitate problem solving.
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 distributions and graphing
2. Measures of location - mean, median, quartiles, percentiles
3. Measures of variation - variance, standard deviation
B. Basic Probability Theory
1. Sample spaces, 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 approach to hypothesis testing
3. The probability - value approach to hypothesis testing
4. Inferences involving one population with regard to means, standard deviation or variance, and proportions
5. Inferences involving two populations with regard to means, standard deviation or variance, and proportions
6. Coefficient of correlation and regression lines
7. Multinomial experiments and contingency tables
8. Analysis of variance
VII. Methods of Instruction
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.
Required Materials: A TI-83 or higher model graphics calculator.
X. Methods of Evaluating Student Progress
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.