Continuous improvement, probability, and statistics : using creative hands-on techniques

著者

    • Hooper, William (Writer on statistics)

書誌事項

Continuous improvement, probability, and statistics : using creative hands-on techniques

William Hooper

(Continuous improvement series)

CRC Press, c2017

  • : [hardback]
  • : pbk

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

What happens when the sport of Juggling meets a Statistical Process Control class? This book shows a creative approach to teaching data analysis for continuous improvement. Using step by step instructions, including over 65 photos and 40 graphs, traditional continuous improvement topics (design of experiments, reliability functions, and probability) are demonstrated using card illusions and hands-on activities. This book is for anyone that teaches these topics and wants to make them more understandable and sometimes even fun. Every operator, technician, student, manager, and leader can learn data analysis and be inspired to join the next generation of continuous improvement professionals.

目次

Introduction - Learning Data, Statistics and Continuous Improvement Another Way. The Science of Learning - Make it Interesting or Shocking. The Use of Two Very Basic Card Tricks to Explain Probability Theory. Combinations and Permutations by Card Magic. Bayesian Statistics - When Accurate Past Information Shortens the Distance to the Aha Moment. Learning the Sport of Juggling Step by Step. The Start of Any Process Including Learning to Juggle - Mean, Standard Deviation and the Learning Curve. The Basics of Using the Control Chart to Improve the Juggling Process. The Reliability Function or Bathtub Curve as Demonstrated by Juggling. Improving by Challenging the Process - The Design of Experiments Process. Design of Experiments Via a Card Trick. Hypothesis Testing Method Utilizing the Experimental Helicopter. An Intermediate Use of the Experimental Helicopter Model - the 5 Factor, 2 Levels, 16 Run Half Factorial Designed Experiment. A Process Optimization After the DOE. Making Data, Statistics and Continuous Improvement Fun and Interesting - A Typical Week Long Course. Final Thoughts.

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