# Seeing Through StatisticsSeeing Through Statistics

WebAssign for Utts' Seeing through Statistics, 4th Edition, is a flexible and fully customizable online instructional solution that puts powerful tools in the hands of instructors, empowering you to deploy assignments, instantly assess ...

Author: Jessica M. Utts

Publisher: Cengage Learning

ISBN: 9781305176249

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Page: 656

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The fourth edition of this popular book by Jessica Utts develops statistical literacy and critical thinking through real-world applications, with an emphasis on ideas, not calculations. This text focuses on the key concepts that educated citizens need to know about statistics. These ideas are introduced in interesting applied and real contexts, without using an abundance of technicalities and calculations that only serve to confuse students. NEW for Fall 2020 - Turn your students into statistical thinkers with the Statistical Analysis and Learning Tool (SALT). SALT is an easy-to-use data analysis tool created with the intro-level student in mind. It contains dynamic graphics and allows students to manipulate data sets in order to visualize statistics and gain a deeper conceptual understanding about the meaning behind data. SALT is built by Cengage, comes integrated in Cengage WebAssign Statistics courses and available to use standalone. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

# Analytical Thinking Seeing Through StatisticsAnalytical Thinking Seeing Through Statistics

Author: Prof. Jessica Utts

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ISBN: 0170188728

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ISBN: 1305139720

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# Seeing Through Statistics with CD ROM and with Infotrac SPSS Local Version for BundlesSeeing Through Statistics with CD ROM and with Infotrac SPSS Local Version for Bundles

Author: Jessica Utts

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ISBN: 0170992691

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# Applied Statistics From Bivariate Through Multivariate TechniquesApplied Statistics From Bivariate Through Multivariate Techniques

From Bivariate Through Multivariate Techniques Rebecca M. Warner ... See also Statistical significance definition, 1118 interpreting, 101–102 replication,99, 122 statistical power and, 23 Type II error and, 85 Statistical power,85, ...

Author: Rebecca M. Warner

Publisher: SAGE

ISBN: 9781412991346

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Page: 1172

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Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked to think about the meaning of equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.

# Understanding Elections through StatisticsUnderstanding Elections through Statistics

Experiments in Statistics One way of seeing the effect of being wrong on the weights is to do some rather heavy mathematics. Another way is to perform a few statistical experiments. Because these experiments provide skills that can be ...

Author: Ole J. Forsberg

Publisher: CRC Press

ISBN: 9781000205749

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Page: 209

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Elections are random events. From individuals deciding whether to vote, to people deciding for whom to vote, to election authorities deciding what to count, the outcomes of competitive democratic elections are rarely known until election day...or beyond. Understanding Elections through Statistics: Polling, Prediction, and Testing explores this random phenomenon from two points of view: predicting the election outcome using opinion polls and testing the election outcome using government-reported data. Written for those with only a brief introduction to statistics, this book takes you on a statistical journey from how polls are taken to how they can—and should—be used to estimate current popular opinion. Once an understanding of the election process is built, we turn toward testing elections for evidence of unfairness. While holding elections has become the de facto proof of government legitimacy, those electoral processes may hide a dirty little secret of the government illicitly ensuring a favorable election outcome. This book includes these features designed to make your statistical journey more enjoyable: Vignettes of elections, including maps, to provide concrete bases for the material In-chapter cues to help one avoid the heavy math—or to focus on it End-of-chapter problems designed to review and extend that which was covered in the chapter Many opportunities to turn the power of the R statistical environment to the enclosed election data files, as well as to those you find interesting From these features, it is clear the audience for this book is quite diverse. This text provides mathematics for those interested in mathematics, but also offers detours for those who just want a good read and a deeper understanding of elections. Author Ole J. Forsberg holds PhDs in both political science and statistics. He currently teaches mathematics and statistics in the Department of Mathematics at Knox College in Galesburg, IL.

# Thinking Through StatisticsThinking Through Statistics

Here we make statistical adjustments for some or all of our predictors that treat them as having only ordinal (and not interval) characteristics. I think we'll be seeing more and more sociological work using this as the “goto.

Author: John Levi Martin

Publisher: University of Chicago Press

ISBN: 9780226567778

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Page: 400

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Simply put, Thinking Through Statistics is a primer on how to maintain rigorous data standards in social science work, and one that makes a strong case for revising the way that we try to use statistics to support our theories. But don’t let that daunt you. With clever examples and witty takeaways, John Levi Martin proves himself to be a most affable tour guide through these scholarly waters. Martin argues that the task of social statistics isn't to estimate parameters, but to reject false theory. He illustrates common pitfalls that can keep researchers from doing just that using a combination of visualizations, re-analyses, and simulations. Thinking Through Statistics gives social science practitioners accessible insight into troves of wisdom that would normally have to be earned through arduous trial and error, and it does so with a lighthearted approach that ensures this field guide is anything but stodgy.

# Statistical Ideas and MethodsStatistical Ideas and Methods

Student CD-ROM contains lab manuals, applets, data sets, presentation slides, Web resources, and tutorial quiz; Interactive video skillbuilder CD-ROM contains video instruction on key examples from the text.

Author: Jessica M. Utts

Publisher: Brooks/Cole

ISBN: CORNELL:31924097635639

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Page: 748

View: 571

Student CD-ROM contains lab manuals, applets, data sets, presentation slides, Web resources, and tutorial quiz; Interactive video skillbuilder CD-ROM contains video instruction on key examples from the text.

# Seeing Through StatisticsSeeing Through Statistics

Author: Jessica M. Utts

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ISBN: 0534371132

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Page: 465

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# Introduction to Statistics Through Resampling Methods and R S PLUSIntroduction to Statistics Through Resampling Methods and R S PLUS

We focus on the wrong end points; participants and coinvestigators see through our blinding schemes; the effects of neglected and unobserved confounding factors overwhelm and outweigh the effects of our variables of interest.

Author: Phillip I. Good

Publisher: John Wiley & Sons

ISBN: 9780471722496

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Page: 256

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