Introductory Statistics

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Introductory Statistics

Introductory Statistics by Barbara Illowsky,Susan Dean Book Summary:

Introductory Statistics is designed for the one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The foundation of this textbook is Collaborative Statistics, by Barbara Illowsky and Susan Dean. Additional topics, examples, and ample opportunities for practice have been added to each chapter. The development choices for this textbook were made with the guidance of many faculty members who are deeply involved in teaching this course. These choices led to innovations in art, terminology, and practical applications, all with a goal of increasing relevance and accessibility for students. We strove to make the discipline meaningful, so that students can draw from it a working knowledge that will enrich their future studies and help them make sense of the world around them. Coverage and Scope Chapter 1 Sampling and Data Chapter 2 Descriptive Statistics Chapter 3 Probability Topics Chapter 4 Discrete Random Variables Chapter 5 Continuous Random Variables Chapter 6 The Normal Distribution Chapter 7 The Central Limit Theorem Chapter 8 Confidence Intervals Chapter 9 Hypothesis Testing with One Sample Chapter 10 Hypothesis Testing with Two Samples Chapter 11 The Chi-Square Distribution Chapter 12 Linear Regression and Correlation Chapter 13 F Distribution and One-Way ANOVA

Introductory Statistics with R

Introductory Statistics with R by Peter Dalgaard Book Summary:

This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.

Introductory Statistics

Introductory Statistics by J. Gosling Book Summary:

A comprehensive, self-paced, step-by-step statistics course for tertiary students.

Introductory Statistics

Introductory Statistics by Sheldon M. Ross Book Summary:

Introductory Statistics, Fourth Edition, reviews statistical concepts and techniques in a manner that will teach students not only how and when to utilize the statistical procedures developed, but also how to understand why these procedures should be used. The text's main merits are the clarity of presentation, contemporary examples and applications from diverse areas, an explanation of intuition, and the ideas behind the statistical methods. Concepts are motivated, illustrated, and explained in a way that attempts to increase one's intuition. To quote from the preface, it is only when a student develops a feel or intuition for statistics that she or he is really on the path toward making sense of data. Ross achieves this goal through a coherent mix of mathematical analysis, intuitive discussions, and examples. Applications and examples refer to real-world issues, such as gun control, stock price models, health issues, driving age limits, school admission ages, use of helmets, sports, scientific fraud, and many others. Examples relating to data mining techniques using the number of Google queries or Twitter tweets are also considered. For this fourth edition, new topical coverage includes sections on Pareto distribution and the 80-20 rule, Benford's law, added material on odds and joint distributions and correlation, logistic regression, A-B testing, and more modern (big data) examples and exercises. Includes new section on Pareto distribution and the 80-20 rule, Benford’s law, odds, joint distribution and correlation, logistic regression, A-B testing, and examples from the world of analytics and big data Comprehensive edition that includes the most commonly used statistical software packages (SAS, SPSS, Minitab), ISM, SSM, and an online graphing calculator manual Presents a unique, historical perspective, profiling prominent statisticians and historical events to motivate learning by including interest and context Provides exercises and examples that help guide the student towards indpendent learning using real issues and real data, e.g. stock price models, health issues, gender issues, sports, and scientific fraud

Introductory Statistics

Introductory Statistics by Textbook Equity Edition Book Summary:

Introductory Statistics is designed for the one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The foundation of this textbook is Collaborative Statistics, by Barbara Illowsky and Susan Dean. Additional topics, examples, and ample opportunities for practice have been added to each chapter. The development choices for this textbook were made with the guidance of many faculty members who are deeply involved in teaching this course. These choices led to innovations in art, terminology, and practical applications, all with a goal of increasing relevance and accessibility for students. We strove to make the discipline meaningful, so that students can draw from it a working knowledge that will enrich their future studies and help them make sense of the world around them.

Introductory Statistics for Biology

Introductory Statistics for Biology by R. E. Parker,Reginald Ernest Parker Book Summary:

This introductory text presents the use of statistical methods as an integral part of biological investigation, yet one whose superficial complexities have deterred many biologists from using them. The author argues that the difficulties, such as they are, do not lie in mathematical manipulation, but in grasping a few simple, but unfamiliar concepts. He emphasizes the need for precisely defining problems and for careful selection of the most appropriate methods - a wide range of which are described and illustrated. Each chapter ends with a set of problems which are intended to help the student gain practical experience. No previous knowledge is assumed, and the student is encouraged to develop a competent and critical approach to analysing numerical data. In this second edition, the scope of the book has been extended, problems have been solved in a more satisfactory way, and a greater number of illustrative examples have been added.

Introductory Statistics

Introductory Statistics by Neil A. Weiss Book Summary:

Weiss's Introductory Statistics, Ninth Edition is the ideal textbook for introductory statistics classes that emphasize statistical reasoning and critical thinking. The text is suitable for a one- or two-semester course. Comprehensive in its coverage, Weiss's meticulous style offers careful, detailed explanations to ease the learning process. With more than 1,000 data sets and more than 2,600 exercises, most using real data, this text takes a data-driven approach that encourages students to apply their knowledge and develop statistical literacy. Introductory Statistics, Ninth Edition, contains parallel presentation of critical-value and p-value approaches to hypothesis testing. This unique design allows both the flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two. This edition continues the book's tradition of being on the cutting edge of statistical pedagogy, technology, and data analysis. It includes hundreds of new and updated exercises with real data from journals, magazines, newspapers, and websites. Datasets and other resources (where applicable) for this book are available here.

Introductory Statistics

Introductory Statistics by Sheldon M. Ross Book Summary:

Introductory Statistics, Third Edition, presents statistical concepts and techniques in a manner that will teach students not only how and when to utilize the statistical procedures developed, but also to understand why these procedures should be used. This book offers a unique historical perspective, profiling prominent statisticians and historical events in order to motivate learning. To help guide students towards independent learning, exercises and examples using real issues and real data (e.g., stock price models, health issues, gender issues, sports, scientific fraud) are provided. The chapters end with detailed reviews of important concepts and formulas, key terms, and definitions that are useful study tools. Data sets from text and exercise material are available for download in the text website. This text is designed for introductory non-calculus based statistics courses that are offered by mathematics and/or statistics departments to undergraduate students taking a semester course in basic Statistics or a year course in Probability and Statistics. Unique historical perspective profiling prominent statisticians and historical events to motivate learning by providing interest and context Use of exercises and examples helps guide the student towards indpendent learning using real issues and real data, e.g. stock price models, health issues, gender issues, sports, scientific fraud. Summary/Key Terms- chapters end with detailed reviews of important concepts and formulas, key terms and definitions which are useful to students as study tools

Introductory Statistics

Introductory Statistics by William B. Ware,John M. Ferron,Barbara M. Miller Book Summary:

This comprehensive and uniquely organized text is aimed at undergraduate and graduate level statistics courses in education, psychology, and other social sciences. A conceptual approach, built around common issues and problems rather than statistical techniques, allows students to understand the conceptual nature of statistical procedures and to focus more on cases and examples of analysis. Wherever possible, presentations contain explanations of the underlying reasons behind a technique. Importantly, this is one of the first statistics texts in the social sciences using R as the principal statistical package. Key features include the following. Conceptual Focus – The focus throughout is more on conceptual understanding and attainment of statistical literacy and thinking than on learning a set of tools and procedures. Problems and Cases – Chapters and sections open with examples of situations related to the forthcoming issues, and major sections ends with a case study. For example, after the section on describing relationships between variables, there is a worked case that demonstrates the analyses, presents computer output, and leads the student through an interpretation of that output. Continuity of Examples – A master data set containing nearly all of the data used in the book’s examples is introduced at the beginning of the text. This ensures continuity in the examples used across the text. Companion Website – A companion website contains instructions on how to use R, SAS, and SPSS to solve the end-of-chapter exercises and offers additional exercises. Field Tested – The manuscript has been field tested for three years at two leading institutions.

Introductory Statistics

Introductory Statistics by John W. McGhee Book Summary:

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Intuitive Introductory Statistics

Intuitive Introductory Statistics by Douglas A. Wolfe,Grant Schneider Book Summary:

This textbook is designed to give an engaging introduction to statistics and the art of data analysis. The unique scope includes, but also goes beyond, classical methodology associated with the normal distribution. What if the normal model is not valid for a particular data set? This cutting-edge approach provides the alternatives. It is an introduction to the world and possibilities of statistics that uses exercises, computer analyses, and simulations throughout the core lessons. These elementary statistical methods are intuitive. Counting and ranking features prominently in the text. Nonparametric methods, for instance, are often based on counts and ranks and are very easy to integrate into an introductory course.​ The ease of computation with advanced calculators and statistical software, both of which factor into this text, allows important techniques to be introduced earlier in the study of statistics. This book's novel scope also includes measuring symmetry with Walsh averages, finding a nonparametric regression line, jackknifing, and bootstrapping​. Concepts and techniques are explored through practical problems. Quantitative reasoning is at the core of so many professions and academic disciplines, and this book opens the door to the most modern possibilities.

IBM SPSS for Introductory Statistics

IBM SPSS for Introductory Statistics by George A. Morgan,Nancy L. Leech,Gene W. Gloeckner,Karen C. Barrett Book Summary:

"Designed to help students analyze and interpret research data using IBM SPSS, this book describes the use of statistics in user-friendly, non-technical language to show readers how to choose the appropriate statistic based on the design, interpret output, and write about the results. The authors prepare readers for all of the steps in the research process, from design and data collection, to writing about the results. Discussions of writing about outputs, data entry and checking, reliability assessment, testing assumptions, and computing descriptive and inferential parametric and nonparametric statistics are included. SPSS syntax, along with the output, is provided for those who prefer this format"--Provided by publisher.

Introductory Statistics

Introductory Statistics by Thomas H. Wonnacott,Ronald J. Wonnacott Book Summary:

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Introductory Statistics, Global Edition

Introductory Statistics, Global Edition by Neil A. Weiss Book Summary:

Statistically Significant Weiss’s Introductory Statistics, Tenth Edition, is the ideal textbook for introductory statistics classes that emphasize statistical reasoning and critical thinking. Comprehensive in its coverage, Weiss’s meticulous style offers careful, detailed explanations to ease the learning process. With more than 1,000 data sets and over 3,000 exercises, this text takes a data-driven approach that encourages students to apply their knowledge and develop statistical understanding. This text contains parallel presentation of critical-value and p-value approaches to hypothesis testing. This unique design allows the flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two. MyStatLab not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. MyStatLab is an online homework, tutorial, and assessment product designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.

Introductory Statistics with Applications in General Insurance

Introductory Statistics with Applications in General Insurance by I. B. Hossack,J. H. Pollard,B. Zehnwirth Book Summary:

New edition of a very successful introduction to statistical methods for general insurance practitioners.

Introductory Statistics

Introductory Statistics by Lloyd R. Jaisingh,Sheldon M. Ross Book Summary:

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Introductory Statistics, 8th Edition

Introductory Statistics, 8th Edition by Prem S. Mann Book Summary:

Introductory Statistics is written for a one or two semester first course in applied statistics and is intended for students who do not have a strong background in mathematics. The only prerequisite is knowledge of elementary algebra. Introductory Statistics is known for its realistic examples and exercises, clarity and brevity of presentation, and soundness of pedagogical approach.

Using R for Introductory Statistics, Second Edition

Using R for Introductory Statistics, Second Edition by John Verzani Book Summary:

The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version. See What’s New in the Second Edition: Increased emphasis on more idiomatic R provides a grounding in the functionality of base R. Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible. Use of knitr package makes code easier to read and therefore easier to reason about. Additional information on computer-intensive approaches motivates the traditional approach. Updated examples and data make the information current and topical. The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text. The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.

Introductory Statistics

Introductory Statistics by Stephen Kokoska Book Summary:

Stephen Kokoska combines a traditional, classic approach to teaching statistics with contemporary examples, pedagogical features, and prose that will appeal to today’s student. Kokoska emphasises statistical inference and decision making throughout. His fresh yet practical way to help students understand statistics is balanced by a logic that speaks to the teaching style of many instructors. The textbook has been extensively reviewed and class tested and feedback from instructors and students has shaped it throughout its development. Author Steve Kokoska blends solid mathematics with lucid writing to create a text that illustrates statistical concepts by using a stepped problem-solving approach. His textbook helps students understand the process of basic statistical arguments, a skill that will help them in their coursework and as they enter a life beyond academics. Introductory Statistics is available with SaplingPlus. Within SaplingPlus, you’ll have access to an interactive ebook (available on and offline) along with questions, quizzes and targeted feedback to help you achieve success in your course.

Introductory Statistics

Introductory Statistics by Roger E. Kirk Book Summary:

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Introductory Statistics

Introductory Statistics by Teaching Machines, inc Book Summary:

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Introductory Statistics

Introductory Statistics by Prem S. Mann Book Summary:

When it comes to learning statistics, Mann delivers the information that business professionals need. The new edition incorporates the most up-to-date methods and applications to present the latest information in the field. It focuses on explaining how to apply the concepts through case studies and numerous examples. Data integrated throughout the chapters come from a wide range of disciplines and media sources. Over 200 examples are included along with marginal notes and step-by-step solutions. The Decide for Yourself feature also helps business professionals explore real-world problems and solutions.

A Pathway to Introductory Statistics

A Pathway to Introductory Statistics by Jay Lehmann Book Summary:

This print textbook is available for students to rent for their classes. The Pearson print rental program provides students with affordable access to learning materials, so they come to class ready to succeed. For courses in Introductory Statistics. Looking for a new path to Statistics? Prepare for introductory statistics with a one-semester course that offers an alternative to the traditional two-semester developmental algebra sequence. For students whose major requires Statistics, tailoring their developmental sequence with a PreStatistics approach allows them to begin to reason statistically, get familiar with statistical vocabulary, and get comfortable working with data, all while learning the necessary prerequisites to prepare them for their college-level course. Packed with authentic data sets to make math meaningful to students, this program provides both an introduction to descriptive statistics and the requisite algebra topics needed for a statistics course, while demonstrating the close link between the two subjects. The 2nd Edition increases the number of MyLab(tm) Math exercises, revises and refines content throughout, and features a new Workbook by the author with hundreds of affective domain and PreStatistics activities. Also available with MyLab Math By combining trusted author content with digital tools and a flexible platform, MyLab Math personalizes the learning experience and improves results for each student. 0136468683 / 9780136468684 A PATHWAY TO INTRODUCTORY STATISTICS [RENTAL EDITION], 2/e

Introductory Statistics for Engineering Experimentation

Introductory Statistics for Engineering Experimentation by Peter R. Nelson,Marie Coffin,Karen A. F. Copeland Book Summary:

A concise treatment for undergraduate and graduate students who need a guide to statistics that focuses specifically on engineering.

Introductory Statistics for Business and Economics

Introductory Statistics for Business and Economics by Jan Ubøe Book Summary:

This textbook discusses central statistical concepts and their use in business and economics. To endure the hardship of abstract statistical thinking, business and economics students need to see interesting applications at an early stage. Accordingly, the book predominantly focuses on exercises, several of which draw on simple applications of non-linear theory. The main body presents central ideas in a simple, straightforward manner; the exposition is concise, without sacrificing rigor. The book bridges the gap between theory and applications, with most exercises formulated in an economic context. Its simplicity of style makes the book suitable for students at any level, and every chapter starts out with simple problems. Several exercises, however, are more challenging, as they are devoted to the discussion of non-trivial economic problems where statistics plays a central part.

Introductory Statistics ; a Decision Map

Introductory Statistics ; a Decision Map by Thad R. Harshbarger Book Summary:

Arithmetic and algebra; Flow charts and decision maps; Graphing; Characteristics of a distribution; Transformations of scale; Theoretical distributions; Probability; Hypothesis testing; Comparing proportions or entire distributions; Comparing variances; Comparing means: one or two samples; Comparing means: three or more samples; Hypothesis tests with ordinal scales; Prediction; Correlation: pearson and related formulas; Other two-variable correlation indices; Correlating three or more variables.

Introductory Statistics for Biology Students, Second Edition

Introductory Statistics for Biology Students, Second Edition by Trudy A. Watt Book Summary:

Introductory Statistics for Biology Students thoroughly covers the design and analysis of experiments and surveys in biology, containing practical advice on carrying out successful projects and producing clear, informative reports.

Introductory Statistics for the Behavioral Sciences

Introductory Statistics for the Behavioral Sciences by Joan Welkowitz,Barry H. Cohen,Robert B. Ewen Book Summary:

This title has been thoroughly revised and presents all the topics psychology students need in an accessible format so that the subject can be easily grasped. Introductory Statistics for the Behavioral Sciences has had a long and successful publication history; it has been in print continuously for over thirty years.

Introductory Statistics for Management and Economics

Introductory Statistics for Management and Economics by James L. Kenkel Book Summary:

Introductory Statistics for Management and Economics is designed specifically for business, economics, and management majors who are enrolled in a two-term statistics course. The new Fourth Edition of this popular text continues to emphasize statistical inference and model building in a real-world context. It contains over 1,500 varying types of problems based on real-world applications, as well as in-depth coverage of regression analysis, and a thorough discussion of how to use the computer to estimate and test models. "Computer Applications" sections have been added to help students understand and interpret statistical output. New to the Fourth Edition: New chapter on statistical quality control covers process control charts, process capability and improvement; Hundreds of new computer exercises and problems, with relevant data provided on a data disk; New "Statistics in Action" segments based on how to apply statistics; and Streamlined coverage of probability and sampling.

Introductory Statistics

Introductory Statistics by Philip P. AMATO,Eiki Satake Book Summary:

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Introductory Statistics

Introductory Statistics by Louis S. Berger Book Summary:

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SPSS for Introductory Statistics

SPSS for Introductory Statistics by George A. Morgan,Nancy L. Leech,Gene W. Gloeckner,Karen C. Barrett Book Summary:

This book distinguishes itself from other SPSS resources through its unique integration of the research process (including design) and the use and interpretation of the statistics. Designed to help students analyze and interpret research data, the authors demonstrate how to choose the appropriate statistic based on the research design, interpret SPSS output, and write about the output in a research paper. The authors describe the use and interpretation of these statistics in user-friendly, non-technical language. The book prepares students for all of the steps in the research process, from design and data collection, to writing about the results. The new edition features SPSS 14.0 for Windows, but can also be used with older and newer versions. There are also new problems, expanded discussions of effect sizes, and an expanded appendix on getting started with SPSS. The book features discussions of writing about outputs, data entry and checking, reliability assessment, testing assumptions, and descriptive, inferential, and nonparametric statistics. Several related statistics are included in each chapter. SPSS syntax, along with the output, is included for those who prefer this format. Two realistic data sets are available on the book’s CD and are used to solve the end of chapter problems. SPSS for Introductory Statistics, Third Edition, provides these helpful teaching tools: • All of the key SPSS windows needed to perform the analyses • Complete outputs with call-out boxes to highlight key points • Interpretation sections and questions to help students better understand the output • Lab assignments organized the way students proceed when they conduct a research project • Extra SPSS problems for practice in running and interpreting SPSS • Helpful appendices on how to get started with SPSS, write research questions, and create tables and figures. This book is an ideal supplement for courses in either statistics or research methods taught in departments of psychology, education, and other social and health sciences. The Instructor’s Resource CD features PowerPoint slides and answers to and additional information on the questions and problems.

Introductory Statistics

Introductory Statistics by N.A Book Summary:

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Understanding Statistics

Understanding Statistics by Nicholas Pritchard,Keshav Jagannathan,Lindsey Bell Book Summary:

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Introductory Statistics

Introductory Statistics by Robert Gould,Colleen N. Ryan Book Summary:

NOTE: Before purchasing, check with your instructor to ensure you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, and registrations are not transferable. To register for and use Pearson's MyLab & Mastering products, you may also need a Course ID, which your instructor will provide. Used books, rentals, and purchases made outside of Pearson If purchasing or renting from companies other than Pearson, the access codes for Pearson's MyLab & Mastering products may not be included, may be incorrect, or may be previously redeemed. Check with the seller before completing your purchase. Note: You are purchasing a standalone product; MyStatLab does not come packaged with this content. MyStatLab is not a self-paced technology and should only be purchased when required by an instructor. If you would like to purchase both the physical text and MyStatLab, search for: 9780133956504 / 0133956504Introductory Statistics Plus NEW MyStatLab with Pearson eText -- Access Card Package, 2/e We live in a data-driven world, and the goal of this text is to teach students how to access and analyze these data critically. Authors Rob Gould and Colleen Ryan emphasize that learning statistics extends beyond the classroom to an essential life skill, and want students to develop a "data habit of mind." Regardless of their math backgrounds, students will learn how to think about data and how to reason using data. With a clear, unintimidating writing style and carefully chosen pedagogy, this text makes data analysis accessible to all students.

Introductory Statistics and Probability for Engineering, Science, and Technology

Introductory Statistics and Probability for Engineering, Science, and Technology by Elwood G. Kirkpatrick Book Summary:

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Introductory Statistics, Student Solutions Manual (e-only)

Introductory Statistics, Student Solutions Manual (e-only) by Sheldon M. Ross Book Summary:

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Introductory Statistics

Introductory Statistics by Ronald J. Wonnacott,Thomas H. Wonnacott Book Summary:

Basic probability and statistics; Inference for means and proportions; Regression: relating two or more variables; Topics in classical and bayesian inference.

Introductory Statistics: A Problem-Solving Approach

Introductory Statistics: A Problem-Solving Approach by Stephen Kokoska Book Summary:

This very hands-on book helps students develop the fundamental lifelong skill of solving problems and interpreting solutions in real-world terms. Now in its third Edition, this introductory statistical book presents long-term, universal skills for students taking a one- or two-semester introductory-level statistics course. Examples include guided, explanatory solutions that emphasize problem-solving techniques.The generous collection and variety of exercises provide ample opportunity for practice and review in a variety of contexts. This text is designed to help students fully understand the steps in basic statistical arguments, emphasizing the importance of assumptions in order to follow valid arguments or identify inaccurate conclusions.