Course Description
Emphasizes mathematical concepts. Includes measures of central tendency and spread; probability; binomial, normal and distributions; statistical inference; and linear regression and correlation.
Course Objectives
Upon completion of this course, students should be able to
- Enhance Critical Thinking Skills
- Ability to interpret statistical output
- Ability to use statistical analysis to make business decisions
- Ability to match appropriate statistical tool with problem
- Enhance Technical Skills
- Working with Secondary Data Sources
- Generating Statistical Output using Excel, and/or SPSS
- Foster Ethical Practices
- Detecting Fraud, Absenteeism and Discrimination
- Abuses: data mining, ignoring negative information, fitting results to a predetermined conclusion
Week 1
Lecture: Course Introduction
Lecture: Definition and Terms
Lecture: Tabulating and Graphing Categorical Data
Lecture: Organizing Numeric Data
Week 2
Lecture: Measures of Central Tendency
Lecture: Measures of Variation
Week 3
Lecture: Basic Probability and Boolean Concepts: Part 1
Lecture: Basic Probability and Boolean Concepts: Part 2
Lecture: Counting
Week 4
Lecture: Discrete Probability Distribution: Part 1
Lecture: Discrete Probability Distribution: Part 2
Week 5
Lecture: Continuous Distributions and the Normal Distribution: Part 1
Lecture: Continuous Distributions and the Normal Distribution: Part 2
Lecture: Sampling Distributions
Week 6
Lecture: Confidence Intervals: Part 1
Lecture: Confidence Intervals: Part 2
Week 7
Lecture: Hypothesis Testing: Part 1
Lecture: Hypothesis Testing: Part 2
Lecture: Hypothesis Testing: Part 3
Week 8
Lecture: Quality and Process Management: Part 1
Lecture: Quality and Process Management: Part 2
The course description, objectives and learning outcomes are subject to change without notice based on enhancements made to the course. March 2012
