Statistical Techniques for Data Analysis
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A01=Cheryl Cihon
A01=John K. Taylor
advanced statistical software applications
Author_Cheryl Cihon
Author_John K. Taylor
Category=PBT
Computer Assisted Data Analysis
confidence
Confidence Band
Confidence Interval
Data Set
data visualization science
deviation
Dixon Test
DQOs
Empirical Relationships
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
experimental design
Failure Time
Fit SE Fit Residual St
hypothesis testing methods
interval
Log Rank Test
Mathematical Expressions
measurement
Measurement Program
Menu Commands
metrology statistics
minitab
MINITAB Output
Normal Probability Plot
output
Peer Review
Predictor Coef SE Coef
process
Relative Standard Deviation
scientific measurement error
SE Fit Residual St Resid
set
standard
Standard Deviation
StDev SE
survival analysis techniques
Time Series
Time Series Plot
tolerance
Tolerance Intervals
Wilcoxon Signed Rank Test
Product details
- ISBN 9781584883852
- Weight: 700g
- Dimensions: 152 x 229mm
- Publication Date: 14 Jan 2004
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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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
Taylor\, John K.; Cihon\, Cheryl
