Description
Statistical Techniques for Data Analysis (2nd Ed.)
Authors: Taylor John K., Cihon Cheryl
Language: EnglishSubjects for Statistical Techniques for Data Analysis:
Keywords
Data Set; MINITAB Output; minitab; Relative Standard Deviation; output; Confidence Interval; confidence; Menu Commands; interval; Normal Probability Plot; standard; Standard Deviation; deviation; Measurement Program; measurement; Time Series; process; Tolerance Intervals; tolerance; DQOs; set; StDev SE; Log Rank Test; Wilcoxon Signed Rank Test; Dixon Test; Mathematical Expressions; SE Fit Residual St Resid; Failure Time; Peer Review; Predictor Coef SE Coef; Fit SE Fit Residual St; Computer Assisted Data Analysis; Confidence Band; Empirical Relationships; Time Series Plot
Publication date: 06-2020
· 15.2x22.9 cm · Paperback
Approximative price 142.05 €
Subject to availability at the publisher.
Add to cart the book of Taylor John K., Cihon CherylPublication date: 01-2004
256 p. · 15.2x22.9 cm · Hardback
Description
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Since the first edition of this book appeared, computers have come to the aid of modern experimenters and data analysts, bringing with them data analysis techniques that were once beyond the calculational reach of even professional statisticians. Today, scientists in every field have access to the techniques and technology they need to analyze statistical data. All they need is practical guidance on how to use them.
Valuable to everyone who produces, uses, or evaluates scientific data, Statistical Techniques for Data Analysis, Second Edition provides straightforward discussion of basic statistical techniques and computer analysis. The purpose, structure, and general principles of the book remain the same as the first edition, but the treatment now includes updates in every chapter, additional topics, and most importantly, an introduction to use of the MINITAB Statistical Software. The presentation of each technique includes motivation and discussion of the statistical analysis, a hand-calculated example, the same example calculated using MINITAB, and discussion of the MINITAB output and conclusions.
Highlights of the Second Edition:
"Detailed discussion and use of MINITAB in examples complete with code and output
"A new chapter addressing proportions, time to event data, and time series data in the metrology setting
"Additional material on hypothesis testing
"Discussion of critical values
"A look at mistakes commonly made in data analysis