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· Do your students need to organize and summarize data for term projects? Will they need to perform these tasks on the job? This book gives them thorough preparation. · In twelve short chapters, your students will learn the purposes of descriptive statistics, their calculation, and proper interpretation. · Actual data on the emotional health of foster-care adolescents are used throughout the book to illustrate various ways of deriving meaning from the data with descriptive statistics. Other interesting examples are also included. · Computational procedures are illustrated with step-by-step, easy-to-follow examples. · End-of-chapter exercises provide ample practice for students to master both computations and statistical concepts. · Eliminates the need for students to buy a traditional statistics book that emphasizes inferential statistics. · Thoroughly field-tested for student comprehension. · This book will please you and your students with its clarity of presentation. · Outstanding supplement for students who need to describe term project data.

Arthur Vogt has devoted a great deal of his scientific efforts to both person and work of Irving Fisher. This book, written with Jànos Barta, gives an excellent impression of Fisher's great contributions to the theory of the price index on the one hand. On the other hand, it continues Fisher's work on this subject along the lines which several authors drew with respect to price index theory since Fisher's death fifty years ago."This is a highly instructive book on both the history and theory of measurement in economics. It is rather a rich source of interesting properties of more or less well known indices and famous men, especially Irving Fisher, than a precise mathematical text on the axiomatic foundations of indices." (From the Foreword by Wolfgang Eichhorn)

Arthur Vogt has devoted a great deal of his scientific efforts to both person and work of Irving Fisher. This book, written with Jànos Barta, gives an excellent impression of Fisher's great contributions to the theory of the price index on the one hand. On the other hand, it continues Fisher's work on this subject along the lines which several authors drew with respect to price index theory since Fisher's death fifty years ago."This is a highly instructive book on both the history and theory of measurement in economics. It is rather a rich source of interesting properties of more or less well known indices and famous men, especially Irving Fisher, than a precise mathematical text on the axiomatic foundations of indices." (From the Foreword by Wolfgang Eichhorn)

Tough Test Questions? Missed Lectures? Not Enough Time? Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills. This Schaum's Outline gives you Practice problems with full explanations that reinforce knowledge Coverage of the most up-to-date developments in your course field In-depth review of practices and applications Fully compatible with your classroom text, Schaum's highlights all the important facts you need to know. Use Schaum's to shorten your study time-and get your best test scores! Schaum's Outlines-Problem Solved.

Used by hundreds of thousands of students since its first edition, INTRODUCTION TO PROBABILITY AND STATISTICS continues to blend the best of its proven coverage with new innovations. While retaining the straightforward presentation and traditional outline for descriptive and inferential statistics, the Twelfth Edition incorporates exciting new learning aids like MyPersonal Trainer, MyApplet, and MyTip to ensure that students learn and understand the relevance of the material. The book takes advantage of modern technology, including computational software and interactive visual tools, to facilitate statistical reasoning as well as the understanding and interpretation of statistical results. In addition to showing how to apply statistical procedures, the authors explain how to meaningfully describe real sets of data, what the statistical tests mean in terms of their practical applications, how to evaluate the validity of the assumptions behind statistical tests, and what to do when statistical assumptions have been violated. This new edition retains the statistical integrity, examples, exercises and exposition that have made it a market leader, and builds upon this tradition of excellence with new technology integration.

Here's a survey of statistics that covers descriptive statistics, probability, probability distributions, the population mean, the population proportion, chi-square analysis, regression, and an appendix covering random samples. This book is designed to be used in introductory college-level courses, either as a main textbook or supplementary text.

Intermediate Statistics: A Conceptual Course is a student-friendly text for advanced undergraduate and graduate courses. It begins with an introductory chapter that reviews descriptive and inferential statistics in plain language, avoiding extensive emphasis on complex formulas. The remainder of the text covers 13 different statistical topics ranging from descriptive statistics to advanced multiple regression analysis and path analysis. Each chapter contains a description of the logic of each set of statistical tests or procedures and then introduces students to a series of data sets using SPSS, with screen captures and detailed step-by-step instructions. Students acquire an appreciation of the logic of descriptive and inferential statistics, and an understanding of which techniques are best suited to which kinds of data or research questions.

Based on over 30 years of successful teaching experience in this course, Robert Pagano's introductory text takes an intuitive, concepts-based approach to descriptive and inferential statistics. He uses the sign test to introduce inferential statistics, empirically derived sampling distributions, many visual aids, and lots of interesting examples to promote reader understanding. One of the hallmarks of this text is the positive feedback from users--even those not mathematically inclined praise the text for its clarity, detailed presentation, and use of humor to help make concepts accessible and memorable. Thorough explanations precede the introduction of every formula, and the exercises that immediately follow include a step-by-step model that lets readers compare their work against fully solved examples. This combination makes the text perfect for anyone building their foundation of knowledge for analyzing statistics in psychology or other social and behavioral sciences.

Master Teacher and writer Roger E. Kirk brings two clear goals to the Fifth Edition of STATISTICS: AN INTRODUCTION: to provide a sound introduction to descriptive and inferential statistics and to help students read and understand statistical presentations in their field. Kirk provides guidelines to help you decide when to use various procedures, and how to understand the logic of the procedures. This revision includes a complete update, focusing specifically on increased coverage of effect size and power.

Life of Fred books provide a self teaching, self contained, comprehensive math program. The character Fred explains the need for math in everyday life.Life of Fred: Statistics covers: Descriptive Statistics (averages, measures of dispersion, types of distributions), Probability, Bayes Theorem, From a Given Population Determine What Samples Will Look Like (7 tests), Techniques of Sampling, From a Given Sample Determine What the Population Was (14 tests), Determine Whether Two Given Samples Came From the Same Population (15 tests), Working With Three or More Samples (10 tests), Emergency Statistics Guide, Regression Equations, Field Guide, 16 Tables. Answer key sold separately. Author: Stanley F. Schmidt Format: 544 pages, hardcover Grade: college Publisher: Polka Dot Publishing ISBN: 9780970999559

· Designed for use by novice computer users, this text begins with the basics, such as starting SPSS, defining variables, and entering and saving data. · All major statistical techniques covered in beginning statistics classes are included: · descriptive statistics · graphing data · prediction and association · parametric inferential statistics · nonparametric inferential statistics · statistics for test construction · Each section starts with a brief description of the statistic that is covered and important underlying assumptions, which help students select appropriate statistics. · Each section describes how to interpret results and express them in a research report after the data are analyzed. For example, students are shown how to phrase the results of a significant and an insignificant t test. · More than 200 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. · A glossary of statistical terms is included, which makes a handy reference for students who need to review the meanings of basic statistical terms. · Practice exercises throughout the book give students stimulus material to use as they practice to achieve mastery of the program. · Thoroughly field-tested; your students are certain to appreciate this book.

A Crash Course in Statistics by Ryan J. Winter is a short introduction to key statistical methods including descriptive statistics, one-way and two-way ANOVA, the t-test, and Chi Square. Each of the five chapters provides an overview of each method, and then walks readers through a relevant example, using SPSS to highlight how to run the statistics and how to write up the results in APA style. Each chapter ends with a self-quiz so that readers can assess their understanding of each statistical concept. This "crash course" supplement is a must-have statistics refresher for students taking research methods classes; a handy additional reference for introductory statistics students; and a guide for anyone who needs to be a consumer of statistics.

PDQ Statistics, Third Edition offers an expert overview of all major statistical methods, giving the reader a thorough understanding of statistics and how they are used in research articles. The book covers the major categories variable and descriptive statistics, parametric statistics, non-parametric statistics, and multivariate statistics. The explanations are clear, succinct, and loaded with practical examples. This third edition includes new chapters on hierarchical and logistic regression, path analysis, and structural equation modeling. PDQ Statistics, Third Edition also helps the reader identify those statistical analyses with basic flaws in design or research. The book s attractive design and humorous writing style make the subject matter accessible and engaging.

· Designed for use by novice computer users, this text begins with the basics, such as starting SPSS, defining variables, and entering and saving data. · All major statistical techniques covered in beginning statistics classes are included: · descriptive statistics · graphing data · prediction and association · parametric inferential statistics · nonparametric inferential statistics · statistics for test construction · Each section starts with a brief description of the statistic that is covered and important underlying assumptions, which help students select appropriate statistics. · Each section describes how to interpret results and express them in a research report after the data are analyzed. For example, students are shown how to phrase the results of a significant and an insignificant t test. · More than 200 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. · A glossary of statistical terms is included, which makes a handy reference for students who need to review the meanings of basic statistical terms. · Practice exercises throughout the book give students stimulus material to use as they practice to achieve mastery of the program. · Thoroughly field-tested; your students are certain to appreciate this book.

· An overview of descriptive and inferential statistics without formulas and computations. · Clear and to-the-point narrative makes this short book perfect for all courses in which statistics are discussed. · Helps statistics students who are struggling with the concepts. Shows them the meanings of the statistics they are computing. · This book is easy to digest because it is divided into short sections with review questions at the end of each section. · Running sidebars draw students’ attention to important concepts.

A year of college statistics. All the answers are given in the book itself. No need to buy answer keys, teachers' editions, or anything else. Descriptive Statistics (averages, measures of dispersion, types of distributions), Probability, Bayes' Theorem, From a Given Population Determine What Samples Will Look Like (7 tests), Techniques of Sampling, From a Given Sample Determine What the Population Was (14 tests), Determine Whether Two Given Samples Came From the Same Population (15 tests), Working With Three or More Samples (10 tests), Emergency Statistics Guide, Regression Equations, Field Guide, 16 Tables. (College level.) Hardback, 576 pages.

Based on over 30 years of successful teaching experience in this course, Robert Pagano's introductory text takes an intuitive, concepts-based approach to descriptive and inferential statistics. He uses the sign test to introduce inferential statistics, empirically derived sampling distributions, many visual aids and lots of interesting examples to promote student understanding. One of the hallmarks of this text is the positive feedback from students-even students who are not mathematically inclined praise the text for its clarity, detailed presentation, and use of humor to help make concepts accessible and memorable. Thorough explanations precede the introduction of every formula-and the exercises that immediately follow include a step-by-step model that lets students compare their work against fully solved examples. This combination makes the text perfect for students taking their first statistics course in psychology or other social and behavioral sciences.

Levine, Krehbiel and Bereson have teamed up once again to present statistical topics in a business-applied context. Introduction and Data Collection; Presenting Data in Tables and Charts; Numerical Descriptive Measures; Basic Probability; Some Important Discrete Probability Distributions; The Normal Distribution and Other Continuous Distributions; Sampling and Sampling Distributions; Confidence Interval Estimation; Fundamentals of Hypothesis Testing; Two Sample Tests and One-Way Anova; Chi-Square Tests; Simple Linear Regression; Multiple Regression; Statistical Applications in Quality Management MARKET: Business Statistics: A First Course comprehensibly provides readers with the information they need to know in order to understand, apply, and utilize statistical data from a business perspective.

Intermediate Social Statistics expertly guides students through a broad range of statistical methods, starting with an overview of fundamental concepts such as basic descriptive statistics and inferential statistics, before moving on to more advanced techniques, including two- and three-way crosstabulations, multiple regression and logistic regression, path analysis, and more. Taking a conceptual approach, the text emphasizes teaching students why we use particular statistics, what statistics can tell us, how statistics could mislead us, and what to do to prevent being misled or misleading others. This approach allows students to learn not only how to apply statistical techniques but also, importantly, the rationale behind the various methods and formulas they'll use in social statistics. Offering a rich variety of illustrative examples and graphics, helpful review exercises, and easy-to-follow instruction, Intermediate Social Statistics helps students master concepts and sharpen their practical skills, allowing them to navigate the world of statistics with confidence.

Drawing upon over 40 years of experience, the authors of Statistics, 10th Edition provide business professionals with a clear and methodical approach to essential statistical procedures. The text clearly explains the basic concepts and procedures of descriptive and inferential statistical analysis. It features an emphasis on expressions involving sums of squares and degrees of freedom as well as a strong stress on the importance of variability. This accessible approach will help business professionals tackle such perennially mystifying topics as the standard deviation, variance interpretation of the correlation coefficient, hypothesis tests, degrees of freedom, p-values, and estimates of effect size.