Practical Statistics - 3 Book Series (30 results)

Paperback. Condition: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Condition: New.

Paperback. Condition: New.

Condition: New.

Paperback. Condition: New.

Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware.

Condition: New.

Paperback. Condition: New.

Paperback. Condition: New.

Paperback. Condition: new. Paperback. NOW UPDATED FOR MINITAB 22!Statistical tools like ANOVA, correlation, and regression have been used around the world to solve seemingly impossible problems in manufacturing and quality engineering.The majority of engineers and scientists have had little exposure to how these techniques fit into a day-to-day shop floor workflow. This book has been written using the author's 30 years of practical industrial experience, aimed squarely at practicing engineers and scientists rather than academic statisticians and mathematicians.This guide takes a graphical, hands-on approach using a software tool called Minitab to diagnose variation, isolate root causes, and build predictive models.The author concentrates on each step of using these techniques with clear explanations along the way of every decision point. Readers will find this guide both practical and useful, with copious screenshots of the software in use and precise instructions. The emphasis is on moving seamlessly from troubleshooting process drift to establishing robust predictive controls and setting the stage for advanced optimisation.Key Points: Provides core statistical tools and techniques for practical business, process, and quality improvement.Introduces screenshots and step-by-step explanations for running ANOVA, Tukey groupings, correlation, and regression in Minitab.Features real-world engineering walk-throughs-from isolating machine outliers to generating predictive equations (y = mx + b) for precise process targeting.Serves as the ultimate capstone guide and prerequisite bridge into advanced frameworks like SPC Made Easy and DoE Made Easy.Extremely useful for engineers and scientists who want to solve quality, process, and manufacturing problems quickly and easily.About the AuthorColin Hardwick is the leading expert in the practical use of applied quality statistics in the UK.He holds a Masters Degree in Manufacturing Systems from Warwick University and a Bachelors Degree in Mechanical Engineering from Sheffield. He has trained people extensively in statistical problem-solving and is currently Managing Director of Hardwick Consultants Ltd.A qualified Master Black Belt in Lean Six Sigma, he spent 20 years as a Quality Manager and Statistician for Rolls-Royce and has also worked as Quality Director for other major companies such as Chemring PLC. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 111.

Paperback. Condition: new. Paperback. NOW UPDATED FOR MINITAB 22!Statistical tools like ANOVA, correlation, and regression have been used around the world to solve seemingly impossible problems in manufacturing and quality engineering.The majority of engineers and scientists have had little exposure to how these techniques fit into a day-to-day shop floor workflow. This book has been written using the author's 30 years of practical industrial experience, aimed squarely at practicing engineers and scientists rather than academic statisticians and mathematicians.This guide takes a graphical, hands-on approach using a software tool called Minitab to diagnose variation, isolate root causes, and build predictive models.The author concentrates on each step of using these techniques with clear explanations along the way of every decision point. Readers will find this guide both practical and useful, with copious screenshots of the software in use and precise instructions. The emphasis is on moving seamlessly from troubleshooting process drift to establishing robust predictive controls and setting the stage for advanced optimisation.Key Points: Provides core statistical tools and techniques for practical business, process, and quality improvement.Introduces screenshots and step-by-step explanations for running ANOVA, Tukey groupings, correlation, and regression in Minitab.Features real-world engineering walk-throughs-from isolating machine outliers to generating predictive equations (y = mx + b) for precise process targeting.Serves as the ultimate capstone guide and prerequisite bridge into advanced frameworks like SPC Made Easy and DoE Made Easy.Extremely useful for engineers and scientists who want to solve quality, process, and manufacturing problems quickly and easily.About the AuthorColin Hardwick is the leading expert in the practical use of applied quality statistics in the UK.He holds a Masters Degree in Manufacturing Systems from Warwick University and a Bachelors Degree in Mechanical Engineering from Sheffield. He has trained people extensively in statistical problem-solving and is currently Managing Director of Hardwick Consultants Ltd.A qualified Master Black Belt in Lean Six Sigma, he spent 20 years as a Quality Manager and Statistician for Rolls-Royce and has also worked as Quality Director for other major companies such as Chemring PLC. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…