Training Course:Statistical Techniques I (Basic) WorkshopSchool/Trainer:Process Quality Associates Inc.
London, Ontario, Canada
Course Format: Classroom | E-learning | Virtual Class | Online | On-site | Blended | Self-paced
Course Description:
'' Introduces the 7 basic statistical techniques used in management, and the improvement of any process
You will learn the description, uses, cautions and applications for each of the statistical techniques
The use of numerous examples and exercises ensures that you will understand how and when to apply these very powerful tools
Workshop Content
The Variation Principle
Pareto analysis
Flow chart
Cause & effect diagram (Ishikawa Fishbone)
Histogram
Run chart
Scatter diagram
Control charts for both variable and attribute data
You Need to Attend This Workshop If ......
You don’t know if the changes in your results need action or if they are just normal fluctuations
You are never sure which problem to work on first
People need an organized way to determine what really causes problems
...''
Please go to the school's official website for training price and schedule:
http://pqa.net/
Phone:(800) 837-7046
School Address:
690 King St. Suite 2
London ON N5W 2X3
Canada
Jobs & Resumes: London
Houses & Roommates: London
Travel Agencies: London
Search other schools for Statistical Techniques I (Basic) training resources.
Other training courses offered by Process Quality Associates Inc.:
Problem Solving & Trouble Shooting
Production Part Approval Process (PPAP)
Quality Tools & Techniques
Reliability & Maintainability
Root Cause Analysis
Six Sigma Black Belt
Six Sigma Green Belt
Six Sigma Executive Overview
Software Quality Assurance
Statistical Tests & Probability Functions
Strategic Planning
Supervision & Leadership
Supplier Development
Teamwork & Group Dynamics
The People Side of Quality
Theory of Constraints
Time Management
Value Analysis & Value Engineering
Notice: The course description on this page was captured from the Internet as historical reference or submitted by visitors. It was archived statically and not updated from day to day.
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