Statistics II for Dummies by Deborah J. Rumsey (2009, Trade Paperback)

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Características del artículo

Estado
En muy buen estado: Libro que se ha leído y que no tiene un aspecto nuevo, pero que está en un ...
Series
For Dummies
Subject Area
Data Analysis
Educational Level
Adult & Further Education
Level
Beginner, Intermediate
Subject
Statistics
ISBN
9780470466469
Categoría

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Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0470466464
ISBN-13
9780470466469
eBay Product ID (ePID)
102905760

Product Key Features

Number of Pages
408 Pages
Publication Name
Statistics II for Dummies
Language
English
Subject
Probability & Statistics / General, Teaching Methods & Materials / Mathematics
Publication Year
2009
Type
Textbook
Subject Area
Mathematics, Education
Author
Deborah J. Rumsey
Format
Trade Paperback

Dimensions

Item Height
0.8 in
Item Weight
26.1 Oz
Item Length
9.5 in
Item Width
7.6 in

Additional Product Features

Intended Audience
Trade
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
519.5
Table Of Content
Introduction. Part I: Tackling Data Analysis and Model-Building Basics. Chapter 1: Beyond Number Crunching: The Art and Science of Data Analysis. Chapter 2: Finding the Right Analysis for the Job. Chapter 3: Reviewing Confi dence Intervals and Hypothesis Tests. Part II: Using Different Types of Regression to Make Predictions. Chapter 4: Getting in Line with Simple Linear Regression. Chapter 5: Multiple Regression with Two X Variables. Chapter 6: How Can I Miss You If You Won't Leave? Regression Model Selection. Chapter 7: Getting Ahead of the Learning Curve with Nonlinear Regressio. Chapter 8: Yes, No, Maybe So: Making Predictions by Using Logistic Regression. Part III: Analyzing Variance with ANOVA. Chapter 9: Testing Lots of Means? Come On Over to ANOVA! Chapter 10: Sorting Out the Means with Multiple Comparisons. Chapter 11: Finding Your Way through Two-Way ANOVA. Chapter 12: Regression and ANOVA: Surprise Relatives! 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: Nonparametric Statistics: Rebels without a Distribution. Chapter 16: Going Nonparametric. Chapter 17: All Signs Point to 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 the Wilcoxon. Chapter 20: Pointing Out Correlations with Spearman's Rank. Part VI: The Part of Tens. Chapter 21: Ten Common Errors in Statistical Conclusions. Chapter 22: Ten Ways to Get Ahead by Knowing Statistics. Chapter 23: Ten Cool Jobs That Use Statistics. Appendix: Reference Tables. Index.
Synopsis
The ideal supplement and study guide for students preparing for advanced statistics Packed with fresh and practical examples appropriate for a range of degree-seeking students, Statistics II For Dummies helps any reader succeed in an upper-level statistics course. It picks up with data analysis where Statistics For Dummies left off, featuring new and updated examples, real-world applications, and test-taking strategies for success. This easy-to-understand guide covers such key topics as sorting and testing models, using regression to make predictions, performing variance analysis (ANOVA), drawing test conclusions with chi-squares, and making comparisons with the Rank Sum Test., The fun and easy way to enhance your grasp of statistics Need to expand your statistics knowledge and move on to Statistics II? This friendly, hands-on guide gives you the skills you need to take on multiple regression, analysis of variance (ANOVA), Chi-square tests, nonparametric procedures, and other key topics. Statistics II For Dummies also provides plenty of test-taking strategies as well as real-world applications that make data analysis a snap, whether youre in the classroom or at work. Begin with the basics -- review the highlights of Stats I and expand on simple linear regression, confidence intervals, and hypothesis tests Start making predictions -- master multiple, nonlinear, and logistic regression; check conditions; and interpret results Analyze variance with ANOVA -- break down the ANOVA table, one-way and two-way ANOVA, the F-test, and multiple comparisons Connect with Chi-square tests -- examine two-way tables and test categorical data for independence and goodness-of-fit Leap ahead with nonparametrics -- grasp techniques used when you cant assume your data has a normal distribution Open the book and find: Up-to-date methods for analyzing data Full explanations of Statistics II concepts Clear and concise step-by-step procedures Dissection of computer output Lots of tips, strategies, and warnings Ten common errors in statistical conclusions Everyday statistics applications Tables for completing calculations used in the book Learn to: Increase your skills in data analysis Sort through and test models Make predictions Apply statistics to real-world situations, Packed with fresh and practical examples appropriate for a range of students, Statistics II For Dummies picks up with data analysis where Statistics For Dummies left off. With 20 percent new content, readers can find new and updated examples, real-world applications and test-taking strategies for success.
LC Classification Number
QA276

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