Quality Assurance Training
- Applications of Statistical Process Control (SPC)
- Facilitating Continuous Improvement Programs
- Fundamental of Statistics
- Implementing Total Quality Management (TQM)
- Introduction to Statistical Process Control
- Introduction to Total Quality Management (TQM)
- Kaizen
- Lean for Administrative Personnel
- Lean for Healthcare
- Lean Manufacturing
- Pre–SPC Math
- Problem Solving
- Problem Solving Tools
- Quality Circles
- Quality Commitment: A Philosophy for Success
- Review of Control Chart Construction and Analysis
- Review of SPC and an Introduction to CPK
- SPC Concepts
- Total Quality Management for Front-Line Employees
- Total Quality Management for Managers
- Value Stream Mapping
Fundamentals of Statistics
Session Format:
8 Hours Total (Two 4-Hour Sessions)
Introduction
Statistical Process Control (SPC) is based on the application of statistical techniques to production situations. In order to understand and apply SPC techniques appropriately, it is vital that production employees understand the fundamentals of statistical analysis. This training session focuses on the basic statistics necessary to enhance quality and productivity through SPC.
Objectives
The participant will learn: (1) variable identification and measurement and measurement error, (2) basic frequency distributions, (3) measures of central tendency (mean, median, mode), (4) measures of dispersion (range, variance, and standard deviation), (5) sampling as a tool for estimating parameters, (6) a comparison of individual and group variation, and (7) measurement of the natural variation of a process.
Content Outline
- Nominal, ordinal, interval, rational data
- Frequency distributions and histograms
- Normal distributions
- Central tendency: Mean, median, and mode
- Variability: Range and standard deviation
- Samples and populations
- Standard normal distribution
Who Should Attend
This seminar is intended for employees responsible for the operation of manufacturing processes and/or those people likely to compose quality improvement groups.
