Purpose
This course provides individuals in decision-making positions with a basic understanding of data collection and description, inferences about processes and populations based upon samples, and the design of appropriate experiments. Emphasis in this course is placed on the understanding of statistical methods and concepts, as well as the uses and importance of these methods. The interpretation of the results of statistical analyses are explored in-depth. Special emphasis in the area of the design of industrial research is placed upon risk (Type I and II errors), sample sizes, the implications of the use of discrete versus continuous data, sampling techniques, and their relationship to the conduct of reliable and valid industrial research.
Time Requirement
4 days
Number of Participants
No limit
Prerequisites
None
Primary Resource Materials
Statistical Methods for Managers Manual
Content Outline
- Basic Statistical Theory
- Frequency Distributions
- Basic Descriptive Statistics
- Probability and Probability Distributions
- Introduction to Probability
- Theoretical Probability Distributions
- The Binomial Distribution
- The Poisson Distribution
- The Normal and Log-Normal Distribution
- The Exponential Distribution
- The Weibull Distribution
- Sampling and Estimation
- Sampling and Random Sampling Distributions
- Point and Interval Estimation: An Introduction
- An Overview of Statistical Decision-Making Techniques and Tools
- An Introduction to Hypothesis Testing
- Significance, Importance, Confidence, Power, and Risk
- Process Control Charts
- Capability Analyses: Short and Long-Term Methods and Considerations