Data Analysis and Regression

Data Analysis and Regression book cover

Data Analysis and Regression

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  1. Approaching Data Analysis
  2. Indication and Indicators
  3. Displays and Summaries for Batches
  4. Straightening Curves and Plots
  5. The Practice of Re-expression
  6. Need We Reexpress?
  7. Hunting Out the Real Uncertainty
  8. A Method of Direct Assessment
  9. Two-and More-way Tables
  10. Robust and Resistant Measures of Location and Scale
  11. Standardizing for Comparison
  12. Regression for Fitting
  13. Woes of Regression Coefficients
  14. Mechanisms Usually Operating in Linear Fitting
  15. Guided Regression
  16. Examining Regression Residuals

This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price. Please visit www.pearson.com/statistics-classics-series for a complete list of titles.

Two mainstreams intermingle in this treatment of practical statistics: (a) a sequence of philosophical attitudes the student needs for effective data analysis, and (b) a flow of useful and adaptable techniques that make it possible to put these attitudes to work. 

This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price. Please visit www.pearson.com/statistics-classics-series for a complete list of titles.

Two mainstreams intermingle in this treatment of practical statistics: (a) a sequence of philosophical attitudes the student needs for effective data analysis, and (b) a flow of useful and adaptable techniques that make it possible to put these attitudes to work. 

0134995333 / 9780134995335  DATA ANALYSIS AND REGRESSION: A SECOND COURSE IN STATISTICS (CLASSIC VERSION), 1/e 

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Dimensions 1.55 × 6.55 × 9.25 in
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Subjects

statistics, mathematics, higher education, Introductory Statistics