Books about Variance from Amazon.com

Need to learn statistics as part of your job, or want some help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference that's perfect for anyone with no previous background in the subject. This book gives you a solid understanding of statistics without being too simple, yet without the numbing complexity of most college texts.

You get a firm grasp of the fundamentals and a hands-on understanding of how to apply them before moving on to the more advanced material that follows. Each chapter presents you with easy-to-follow descriptions illustrated by graphics, formulas, and plenty of solved examples. Before you know it, you'll learn to apply statistical reasoning and statistical techniques, from basic concepts of probability and hypothesis testing to multivariate analysis.

Organized into four distinct sections, Statistics in a Nutshell offers you:

Introductory material:
• Different ways to think about statistics
• Basic concepts of measurement and probability theory
• Data management for statistical analysis
• Research design and experimental design
• How to critique statistics presented by others


Basic inferential statistics:
• Basic concepts of inferential statistics
• The concept of correlation, when it is and is not an appropriate measure of association
• Dichotomous and categorical data
• The distinction between parametric and nonparametric statistics


Advanced inferential techniques:
• The General Linear Model
• Analysis of Variance (ANOVA) and MANOVA
• Multiple linear regression


Specialized techniques:
• Business and quality improvement statistics
• Medical and public health statistics
• Educational and psychological statistics

Unlike many introductory books on the subject, Statistics in a Nutshell doesn't omit important material in an effort to dumb it down. And this book is far more practical than most college texts, which tend to over-emphasize calculation without teaching you when and how to apply different statistical tests.

With Statistics in a Nutshell, you learn how to perform most common statistical analyses, and understand statistical techniques presented in research articles. If you need to know how to use a wide range of statistical techniques without getting in over your head, this is the book you want..
Price: $20.15 [Notify me when price goes down.]

Selling over 220,000 copies in its first edition, Schaum's Outline of Probability and Statistics has become a vital resource for the more than 977,000 college students who enroll in related probability and statistics courses each year. Its big-picture, calculus-based approach makes it an especially authoriatative reference for engineering and science majors. Now thoroughly update, this second edition includes vital new coverage of order statistics, best critical regions, likelihood ratio tests, and other key topics.

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Price: $12.21 [Notify me when price goes down.]

This popular companion volume gets students using actual political data, and working with a software tool that fittingly prepares them for future political science courses. A no-nonsense introduction to SPSS, the workbook utilizes over 110 screen shots to provide step-by-step instruction and advice on using the statistics program most utilized by today's political scientists. With updated customized datasets, this workbook equips students to analyze real political science research. The second edition has been updated for SPSS 12.0 and 13.0, but also accommodates users of 11.0 and student versions.

The CD-ROM includes five datasets: Two individual-level survey datasets (the 2000 National Election Study and the 2002 General Social Survey, scaled down for the classroom), two datasets containing aggregate-level variables (on the fifty states and on 114 nations of the world), and a dataset that measures partisanship, voting behavior, and ideology of members of the United States Senate. Each chapter contains several guided examples using the datasets and concludes with comprehensive, practical exercises providing students the opportunity to apply their new skills to substantive political issues..
Price: $28.00 [Notify me when price goes down.]

Books on regression and the analysis of variance abound-many are introductory, many are theoretical While most of them do serve a purpose, the fact remains that data analysis cannot be properly learned without actually doing it, and this means using a statistical software package. There are many of these to choose from as well, all with their particular strengths and weaknesses. Lately, however, one such package has begun to rise above the others thanks to its free availability, its versatility as a programming language, and its interactivity. That software is R. In the first book that directly uses R to teach data analysis, Linear Models with R focuses on the practice of regression and analysis of variance. It clearly demonstrates the different methods available and more importantly, in which situations each one applies. It covers all of the standard topics, from the basics of estimation to missing data, factorial designs, and block designs, but it also includes discussion on topics, such as model uncertainty, rarely addressed in books of this type. The presentation incorporates an abundance of examples that clarify both the use of each technique and the conclusions one can draw from the results. All of the data sets used in the book are available for download from http://www.stat.lsa.umich.edu/~faraway/LMR/. The author assumes that readers know the essentials of statistical inference and have a basic knowledge of data analysis, linear algebra, and calculus. The treatment reflects his view of statistical theory and his belief that qualitative statistical concepts, while somewhat more difficult to learn, are just as important because they enable us to practice statistics rather than just talk about it..
Price: $61.00 [Notify me when price goes down.]

A proven performer designed for today’s psychology students, Fundamentals of Behavioral Statistics combines current thinking with a clear presentation designed to foster complete student understanding. A classic text that features a modern, student-oriented approach to studying behavioral statistics with an emphasis on accessibility and comprehensiveness, it is built on four tenants of success: a strong mathematical foundation, clear and interesting examples, rich illustrations and abundant exercises. The revision will continue to place great emphasis on introducing students to exploratory data analytic techniques by replacing outdated techniques with the latest, most up to date methods. Real life examples, used to present the most current approaches to teaching statistics, will be revised to incorporate results from popular and familiar experiments..
Price: $90.00 [Notify me when price goes down.]

Linear models are central to the practice of statistics and form the foundation of a vast range of statistical methodologies. Julian J. Faraway's critically acclaimed Linear Models with R examined regression and analysis of variance, demonstrated the different methods available, and showed in which situations each one applies. Following in those footsteps, Extending the Linear Model with R surveys the techniques that grow from the regression model, presenting three extensions to that framework: generalized linear models (GLMs), mixed effect models, and nonparametric regression models. The author's treatment is thoroughly modern and covers topics that include GLM diagnostics, generalized linear mixed models, trees, and even the use of neural networks in statistics. To demonstrate the interplay of theory and practice, throughout the book the author weaves the use of the R software environment to analyze the data of real examples, providing all of the R commands necessary to reproduce the analyses. A supporting Web site at www.stat.lsa.umich.edu/~faraway/ELM holds all of the data described in the book. Statisticians need to be familiar with a broad range of ideas and techniques. This book provides a well-stocked toolbox of methodologies, and with its unique presentation of these very modern statistical techniques, holds the potential to break new ground in the way graduate-level courses in this area are taught..
Price: $70.94 [Notify me when price goes down.]

With a robust statistical package and eye-catching graphics Stata is fast becoming the statistical program of choice for political scientists For speed, versatility, comprehensiveness, and ease-of-use, Stata is hard to beat. It can be a little daunting for beginning students, but no longer. Philip Pollock's accessible introduction to the program offers students a step-by-step tutorial, leading them through descriptive statistics, cross-tabulation analysis, mean comparisons, linear correlation and regression (including dummy variables and interaction effects), and logistic regression--all tailored to political science material. With over 40 carefully crafted exercises and generous use of annotated screenshots, students will be navigating Stata's graphics routines in no time. Ten feature boxes highlight some of Stata's special capabilities while a concluding chapter provides guidance on how to set up a research project, as well as how to use Stata to read raw data.

Students will be amazed at what they can do as they work through chapters. Graphics capabilities that allow a user to create effective visual displays ranging from elementary but elegant histograms to sophisticated comparisons of logistic regression curves are a major attraction of Stata and are put to effective use in this one-of-a-kind workbook.

Paired with a traditional methods text, this companion volume equips students to analyze real political science research and comes complete with a CD-ROM that includes four customized datasets: two individual-level survey datasets (200 variables from the 2004 National Election Study and 150 variables from the 2002 General Social Survey), and two datasets containing aggregate-level variables on the fifty states and on 114 nations of the world..
Price: $33.24 [Notify me when price goes down.]

• Includes a new chapter on logistic regression.
• Discusses the design and analysis of random trials.
• Explores the latest applications of sample size tables.
• Contains a new section on binomial distribution.

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Price: $96.14 [Notify me when price goes down.]