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Intermediate Statistics for Dummies by Rumsey, Deborah J.

by Rumsey, Deborah J. | PB | Good
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“Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, ...
Binding
Paperback
Weight
1 lbs
Product Group
Book
IsTextBook
Yes
ISBN
9780470045206
Subject Area
Mathematics
Publication Name
Intermediate Statistics for Dummies
Item Length
9.3 in
Publisher
Wiley & Sons, Incorporated, John
Subject
Probability & Statistics / General
Publication Year
2007
Type
Textbook
Format
Perfect
Language
English
Item Height
0.8 in
Author
Deborah Rumsey
Item Width
7.4 in
Item Weight
19.2 Oz
Number of Pages
384 Pages

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Product Information

The encore to the hugely successful "Statistics For Dummies," this new guide takes statistics students to the next level, offering a refresher on statistics basics and covering concepts and topics typically encountered in second-semester statistics courses.

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0470045205
ISBN-13
9780470045206
eBay Product ID (ePID)
57190357

Product Key Features

Author
Deborah Rumsey
Publication Name
Intermediate Statistics for Dummies
Format
Perfect
Language
English
Subject
Probability & Statistics / General
Publication Year
2007
Type
Textbook
Subject Area
Mathematics
Number of Pages
384 Pages

Dimensions

Item Length
9.3 in
Item Height
0.8 in
Item Width
7.4 in
Item Weight
19.2 Oz

Additional Product Features

LCCN
2006-939467
Intended Audience
Trade
Lc Classification Number
Qa276
Reviews
"style, language, layout,common sense, Minitab output, dire warnings,practicalities,examples,punchy headings and warmth of humour..." ( MSOR Connections , Vol 8 No 1)
Table of Content
Introduction. Part I: Data Analysis and Model-Building Basics. Chapter 1: Beyond Number Crunching: The Art and Science of Data Analysis. Chapter 2: Sorting through Statistical Techniques. Chapter 3: Building Confidence and Testing Models. Part II: Making Predictions by Using Regression. Chapter 4: Getting in Line with Simple Linear Regression. Chapter 5: When Two Variables Are Better than One: Multiple Regression. Chapter 6: One Step Forward and Two Steps Back: Regression Model Selection. Chapter 7: When Data Throws You a Curve: Using Nonlinear Regression. Chapter 8: Yes, No, Maybe So: Making Predictions By Using Logistic Regression. Part III: Comparing Many Means with ANOVA. Chapter 9: Going One-Way with Analysis of Variance. Chapter 10: Pairing Things Down with Multiple Comparisons. Chapter 11: Getting a Little Interaction with Two-Way ANOVA. Chapter 12: Rock My World: Relating Regression to ANOVA. Part IV: Building Strong Connections with Chi-Square Tests. Chapter 13: Forming Associations with Two-Way Tables. Chapter 14: Being Independent Enough for the Chi-Square Test. Chapter 15: Using Chi-Square Tests for Goodness-of-Fit (Your Data, Not Your Jeans). Part V: Rebels without a Distribution. Chapter 16: Going Nonparametric. Chapter 17: The Sign Test and Signed Rank Test. Chapter 18: Pulling Rank with the Rank Sum Test. Chapter 19: Do the Kruskal-Wallis and Rank the Sums with Wilcox. Chapter 20: Pointing Out Correlations with Spearman's Rank. Part VI: The Part of Tens. Chapter 21: Ten Errors in Statistical Conclusions. Chapter 22: Ten Practice Problems. Appendix: Tables for Your Reference. Index.
Copyright Date
2007
Dewey Decimal
519.5
Dewey Edition
22
Illustrated
Yes

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