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Analysis of Variance Via Confidence Intervals
Contributor(s): Bird, K. D. (Author)
ISBN: 076196357X     ISBN-13: 9780761963578
Publisher: Sage Publications Ltd
OUR PRICE:   $209.00  
Product Type: Hardcover - Other Formats
Published: December 2004
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Annotation: Analysis of variance (ANOVA) constitutes the main set of statistical methods used by students and researchers to analyse data from experiments. This expertly written textbook adopts a pioneering approach to ANOVA with an emphasis on confidence intervals rather than tests of significance.

Key features of the book include:

?? Extensive coverage

?? Strong emphasis upon practical examples

?? Web-based links to sample questions and answers

Student-focused throughout, it offers a comprehensive introduction to ANOVA using confidence intervals. The chapters have been organized to fit onto a typical lecture programme and is well-structured and practical, invaluable for undergraduates and postgraduate students taking courses in quantitative methods across the social sciences.

Additional Information
BISAC Categories:
- Social Science | Statistics
- Social Science | Methodology
- Social Science | Research
Dewey: B
Physical Information: 0.72" H x 6.52" W x 9.5" (1.11 lbs) 240 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

Analysis of variance (ANOVA) constitutes the main set of statistical methods used by students and researchers to analyse data from experiments. This expertly written textbook adopts a pioneering approach to ANOVA with an emphasis on confidence intervals rather than tests of significance.

Key features of the book include:

- Extensive coverage

- Strong emphasis upon practical examples

- Web-based links to sample questions and answers

Student-focused throughout, it offers a comprehensive introduction to ANOVA using confidence intervals. The chapters have been organized to fit onto a typical lecture programme and is well-structured and practical, invaluable for undergraduates and postgraduate students taking courses in quantitative methods across the social sciences.