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Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016, Fourth Edition presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students will appreciate the book's unhurried pace and thorough, friendly presentation. Opening with an introduction to Excel 2016, including coverage of how to use functions and formulas, this edition also shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques. The book walks readers through various statistical procedures, beginning with simple descriptive statistics, correlations, and graphical representations of data, and ending with inferential techniques, analysis of variance, and a new introductory chapter on working with large datasets and data mining using Excel.
Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016, Fourth Edition presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students will appreciate the book's unhurried pace and thorough, friendly presentation. Opening with an introduction to Excel 2016, including coverage of how to use functions and formulas, this edition also shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques. The book walks readers through various statistical procedures, beginning with simple descriptive statistics, correlations, and graphical representations of data, and ending with inferential techniques, analysis of variance, and a new introductory chapter on working with large datasets and data mining using Excel.
Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016, Fourth Edition presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students will appreciate the book's unhurried pace and thorough, friendly presentation. Opening with an introduction to Excel 2016, including coverage of how to use functions and formulas, this edition also shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques. The book walks readers through various statistical procedures, beginning with simple descriptive statistics, correlations, and graphical representations of data, and ending with inferential techniques, analysis of variance, and a new introductory chapter on working with large datasets and data mining using Excel.
The Sixth Edition of Neil J. Salkind’s best-selling Statistics for People Who (Think They) Hate Statistics promises to ease student anxiety around an often intimidating subject with a humorous, personable, and informative approach. Salkind guides students through various statistical procedures, beginning with descriptive statistics, correlation, and graphical representation of data, and ending with inferential techniques and analysis of variance. New to this edition is an introduction to working with large data sets.
This Study Guide for introductory statistics courses in education departments is designed to accompany Neil J. Salkind’s best-selling Statistics for People Who (Think They) Hate Statistics, Sixth Edition. Extra exercises; activities; and true/false, multiple choice, and essay questions (with answers to all questions) feature education-specific content to help further student mastery of text concepts. A dataset is provided for use with the book at edge.sagepub.com/salkind6e. The dataset contains simulated data to represent a random elementary school in the US. This fictitious elementary school consists of grade K-5 and has traditional classes taught in English as well as Spanish immersion classes. The simulated data represents a set of 70 teachers in this school. The dataset allows students to run various practice exercises in SPSS.
Using his signature, conversational writing style and straightforward presentation, Neil J. Salkind’s best-selling Tests & Measurement for People Who (Think They) Hate Tests & Measurement guides readers through an overview of categories of tests, the design of tests, the use of tests, and some of the basic social, political, and legal issues that the process of testing involves. The Third Edition includes a new chapter on item response theory, new sections on neuropsychological testing, new cartoons, and additional end-of-chapter exercises. Free online resources accompany the text to make teaching easier and provide students with the practice tools they need to master the material.
Ideal for those already familiar with basic Excel features, this updated Third Edition of Neil J. Salkind’s Excel Statistics: A Quick Guide shows readers how to utilize Microsoft® Excel’s functions and Analysis ToolPak to answer simple and complex questions about data. Part I explores 35 Excel functions, while Part II contains 20 Analysis ToolPak tools. To make it easy to see what each function or tool looks like when applied, at-a-glance two-page spreads describe each function and its use with corresponding screenshots. In addition, actual data files used in the examples are readily available online at an open-access Student Study Site.

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