Statistical Data Analysis Basic (10 results)

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Hardcover. Condition: gut. 1999. Technik Maschinenbau Wirtschaft Betriebswirtschaft Management Logistik Produktion Statistical methods have been used by businesses for decades in order to improve the quality of their products and processes. One of the most important developments in orchestrating process improvement and re-engineering, is the application of statistical techniques grouped under the heading of "Six Sigma". Six Sigma is a statistical range measurement of an acceptably small number of defects in a given situation. Statistical tools are used both to compute this range and to control the numbers of defects. Focusing on the most topical statistical technique for quality improvement, this edition features revised presentation of material to highlight the most appropriate statistical tools. New tools have also been added in addition to revised examples and exercises. A must for any orangization interested in integrating the Six Sigma approach into their business strategy." Janice E. Shade Kraft, NA Book Description Six Sigma is a powerful set of statistical quality improvement techniques that--if implemented wisely--can have huge benefits for the bottom line. This book demystifies Six Sigma methods for today's users, explaining essential statistical techniques and tools for manufacturing, development, service, and test organizations, and offering invaluable guidance on how to choose and use these tools effectively. I am with the General Electric Company. We at GE have made Six Sigma part of our culture and a way of doing business. I am GE Six Sigma Black Belt Trained, Green Belt certified and am adjunct assistant professor of mathematics at Quinnipiac College (Hamden, CT) teaching probability & statistics. I have found the book "Implementing Six Sigma: Smarter Solutions Using Statistical Methods" to be the best collection in one place that I have ever seen on Six Sigma since my involvement with it over the past four years. It is easy to read/understand, etc., and I recommend businesses, individuals, statistician, college professors, professional groups, etc., get a copy of the book. Also, if you are already a six sigma company or thinking about becoming one and/or any MB, BB, GB, etc., I recommend that you get a copy of this book. It is a winner! winner! S4 DEPLOYMENT STRATEGY PHASE; Six Sigma Overview and Implementation; S4 MEASUREMENT PHASE; Basic Tools; Probability; Overview of Distributions and Statistical Processes; Basic Control Charts; Process Capability and Process Performance; S4 ANALYSIS PHASE; Visualization of Data; Comparison Tests: Continuous Response; Bootstrapping; Variance Components; S4 IMPROVEMENT PHASE; Benefiting from Design of Experiments (DOE); Variability Reduction Through DOE and Taguchi Considerations; S4 CONTROL PHASE; Other Control Charting Alternatives; Exponentially Weighted Moving Average (EWMA) and Engineering Process Control (EPC); Control Plan and Other Strategies; Pass/Fail Functional Testing; Appendices; List of Symbols; Glossary; References; Index. Implementing Six SIGMA: Statistical Methods for Testing, Development, Manufacturing and Service (Gebundene Ausgabe) von Forrest W. III Breyfogle Technik Maschinenbau Wirtschaft Betriebswirtschaft Management Logistik Produktion 0-471-29659-7 / 0471296597 ISBN-13 978-0-471-29659-1 / 9780471296591 In englischer Sprache. 832 pages. 24,3 x 16,6 x 4,4 cm.

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Taschenbuch. Condition: Neu. Statistical Techniques for Data Analysis | Basic book, to understand Statistical Techniques & useful for Data Analysis in research work for Education & Psychology | R. S. Patel | Taschenbuch | 632 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783846587119 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Statistical Techniques for Data Analysis contains, Meaning and Definition of Statistics Measurement and Enumeration Statistical Frequency Distributions Measures of Central Tendency Measures of Variability Deciles, Percentiles, Percentile Ranks and Standard Scores Normal Curve Correlation Regression Statistical Inference and Significance of Statistics Difference Between Means and Other Statistics Chi-square Test Non-Parametric Tests Special Methods of Correlation ANOVA Analysis of Variance and Factorial Designs ANCOVA Partial and Multiple Correlations Scaling of Tests Item Analysis Reliability and Validity Factor Analysis Use of Computer in Educational Research. The book provide the clear understanding of basic descriptive and inferential statistics. It shows the practical understanding of statistics, in data analysis. It contains enough suitable illustrations for manual computation. This book will be useful for new researchers of M.Ed., M.Phil. and Ph.D., to choose the suitable techniques for data analysis.