Statistical Thinking

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A01=Roger W. Hoerl
A01=Ronald D. Snee
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Age Group_Uncategorized
Author_Roger W. Hoerl
Author_Ronald D. Snee
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business statistics
business statistics for students
Category1=Non-Fiction
Category=KJ
COP=United States
data visualization and display
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_business-finance-law
eq_isMigrated=2
eq_nobargain
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improving business processes
JMP software
Language_English
PA=Available
Price_€100 and above
PS=Active
softlaunch
statistical and graphical analysis
statistical business analysis
statistical engineering
statistical techniques
statistics for industry
statistics for managers
strategic value of data

Product details

  • ISBN 9781119605713
  • Weight: 1270g
  • Dimensions: 180 x 257mm
  • Publication Date: 22 Oct 2020
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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Apply statistics in business to achieve performance improvement

Statistical Thinking: Improving Business Performance, 3rd Edition helps managers understand the role of statistics in implementing business improvements. It guides professionals who are learning statistics in order to improve performance in business and industry. It also helps graduate and undergraduate students understand the strategic value of data and statistics in arriving at real business solutions. Instruction in the book is based on principles of effective learning, established by educational and behavioral research.

The authors cover both practical examples and underlying theory, both the big picture and necessary details. Readers gain a conceptual understanding and the ability to perform actionable analyses. They are introduced to data skills to improve business processes, including collecting the appropriate data, identifying existing data limitations, and analyzing data graphically. The authors also provide an in-depth look at JMP software, including its purpose, capabilities, and techniques for use.

Updates to this edition include:

  • A new chapter on data, assessing data pedigree (quality), and acquisition tools
  • Discussion of the relationship between statistical thinking and data science
  • Explanation of the proper role and interpretation of p-values (understanding of the dangers of “p-hacking”)
  • Differentiation between practical and statistical significance
  • Introduction of the emerging discipline of statistical engineering
  • Explanation of the proper role of subject matter theory in order to identify causal relationships
  • A holistic framework for variation that includes outliers, in addition to systematic and random variation
  • Revised chapters based on significant teaching experience
  • Content enhancements based on student input

This book helps readers understand the role of statistics in business before they embark on learning statistical techniques.

DR. ROGER W. HOERL is an associate professor at Union College where he teaches statistics, engineering statistics, design of experiments, regression analysis, and big data analytics. Previously, he led the Applied Statistics Laboratory at GE Global Research.

DR. RONALD D. SNEE is founder and president of Snee Associates, an authority on designing and implementing organizational improvement and cost-reduction solutions. Prior to this role, he worked at the DuPont Company in a variety of assignments. Snee has co-authored five books and published more than 330 articles on process improvement, quality, and statistics.

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