**Author**: Sheldon M. Ross

**Publisher:**Academic Press

**ISBN:**012804361X

**Category:**Mathematics

**Page:**828

**View:**2351

Skip to content
# Search Results for: introductory-statistics

**Author**: Sheldon M. Ross

**Publisher:** Academic Press

**ISBN:** 012804361X

**Category:** Mathematics

**Page:** 828

**View:** 2351

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

**Author**: Sheldon M. Ross

**Publisher:** Academic Press

**ISBN:** 0123846684

**Category:**

**Page:** 320

**View:** 8686

**Author**: J. Gosling

**Publisher:** Pascal Press

**ISBN:** 9781864410150

**Category:** Mathematical statistics

**Page:** 342

**View:** 5946

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

**Author**: Peter Dalgaard

**Publisher:** Springer Science & Business Media

**ISBN:** 9780387790534

**Category:** Mathematics

**Page:** 364

**View:** 2605

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.

**Author**: Roger E. Kirk

**Publisher:** N.A

**ISBN:** N.A

**Category:** Statistics

**Page:** 438

**View:** 9464

*A Conceptual Approach Using R*

**Author**: William B. Ware,John M. Ferron,Barbara Manning Miller

**Publisher:** Routledge

**ISBN:** 0805836519

**Category:** EDUCATION

**Page:** 497

**View:** 2867

"This comprehensive and uniquely organized text is aimed at undergraduate and graduate level statistics courses in education, psychology, and other social sciences. The focus throughout is more on conceptual understanding, the attainment of statistical literacy and thinking than on learning a set of tools and procedures. An organizational scheme 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. Whenever 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"--

**Author**: Prem S. Mann

**Publisher:** John Wiley & Sons

**ISBN:** 0470444665

**Category:** Mathematics

**Page:** 744

**View:** 1297

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.

**Author**: John W. McGhee

**Publisher:** West Group

**ISBN:** 9780314852779

**Category:** Mathematics

**Page:** 619

**View:** 8721

**Author**: John Verzani

**Publisher:** CRC Press

**ISBN:** 1466590734

**Category:** Mathematics

**Page:** 518

**View:** 1161

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.
*Use and Interpretation, Fifth Edition*

**Author**: George A. Morgan,Nancy L. Leech,Gene W. Gloeckner,Karen C. Barrett

**Publisher:** Routledge

**ISBN:** 1136461809

**Category:** Psychology

**Page:** 256

**View:** 6945

Designed to help students analyze and interpret research data using IBM SPSS, this user-friendly book, written in easy-to-understand language, shows readers how to choose the appropriate statistic based on the design, and to interpret outputs appropriately. The authors prepare readers for all of the steps in the research process: design, entering and checking data, testing assumptions, assessing reliability and validity, computing descriptive and inferential parametric and nonparametric statistics, and writing about outputs. Dialog windows and SPSS syntax, along with the output, are provided. Three realistic data sets, available on the Internet, are used to solve the chapter problems. The new edition features: Updated to IBM SPSS version 20 but the book can also be used with older and newer versions of SPSS. A new chapter (7) including an introduction to Cronbach’s alpha and factor analysis. Updated Web Resources with PowerPoint slides, additional activities/suggestions, and the answers to even-numbered interpretation questions for the instructors, and chapter study guides and outlines and extra SPSS problems for the students. The web resource is located www.routledge.com/9781848729827 . Students, instructors, and individual purchasers can access the data files to accompany the book at www.routledge.com/9781848729827 . IBM SPSS for Introductory Statistics, Fifth Edition provides helpful teaching tools: All of the key IBM SPSS windows needed to perform the analyses. Complete outputs with call-out boxes to highlight key points. Flowcharts and tables to help select appropriate statistics and interpret effect sizes. Interpretation sections and questions help students better understand and interpret the output. Assignments organized the way students proceed when they conduct a research project. Examples of how to write about outputs and make tables in APA format. Helpful appendices on how to get started with SPSS and write research questions. An ideal supplement for courses in either statistics, research methods, or any course in which SPSS is used, such as in departments of psychology, education, and other social and health sciences. This book is also appreciated by researchers interested in using SPSS for their data analysis.

**Author**: Paul Moore,John Cobby

**Publisher:** Prentice Hall Europe

**ISBN:** 9780131218079

**Category:** Mathematics

**Page:** 250

**View:** 7620

Featuring examples which relate to real-world applications, this volume in statistics for environmentalists makes reference to MINITAB for Windows and Excel for Windows. It details how suitable presentation should aid the analysis of complex data.
*The Logic and the Methods*

**Author**: Gustav Levine

**Publisher:** Academic Press

**ISBN:** 148325786X

**Category:** Mathematics

**Page:** 512

**View:** 730

Introductory Statistics for Psychology: The Logic and the Methods presents the concepts of experimental design that are carefully interwoven with the statistical material. This book emphasizes the verbalization of conclusions to experiments, which is another means of communicating the reasons for statistical analyses. Organized into 17 chapters, this book begins with an overview of alternative ways of stating the conclusions from a significant interaction. This text then presents the analysis of variance and introduces the summation sign and its use. Other chapters consider frequency distribution as any presentation of data that offers the frequency with which each score occurs. This book discusses as well the differences in and among people, which are a constant source of variability in test scores, and in most other measurements of people. The final chapter deals with the working knowledge of arithmetic and elementary algebra. This book is a valuable resource for students and psychologists.

**Author**: Joan Welkowitz,Robert B. Ewen,Jacob Cohen

**Publisher:** Academic Press

**ISBN:** 1483258157

**Category:** Mathematics

**Page:** 288

**View:** 3338

Introductory Statistics for the Behavioral Sciences provides an introduction to statistical concepts and principles. This book emphasizes the robustness of parametric procedures wherein such significant tests as t and F yield accurate results even if such assumptions as equal population variances and normal population distributions are not well met. Organized into three parts encompassing 16 chapters, this book begins with an overview of the rationale upon which much of behavioral science research is based, namely, drawing inferences about a population based on data obtained from a sample. This text then examines the primary goal of descriptive statistics to bring order out of chaos. Other chapters consider the concept of variability and its applications. This book discusses as well the essential characteristics of a group of scores. The final chapter deals with the chi-square analysis. This book is a valuable resource for students of statistics as well as for undergraduates majoring in psychology, sociology, and education.

**Author**: Peter R. Nelson,Karen A.F. Copeland,Marie Coffin

**Publisher:** Elsevier

**ISBN:** 0080491650

**Category:** Mathematics

**Page:** 514

**View:** 5504

The Accreditation Board for Engineering and Technology (ABET) introduced a criterion starting with their 1992-1993 site visits that "Students must demonstrate a knowledge of the application of statistics to engineering problems." Since most engineering curricula are filled with requirements in their own discipline, they generally do not have time for a traditional two semesters of probability and statistics. Attempts to condense that material into a single semester often results in so much time being spent on probability that the statistics useful for designing and analyzing engineering/scientific experiments is never covered. In developing a one-semester course whose purpose was to introduce engineering/scientific students to the most useful statistical methods, this book was created to satisfy those needs. Provides the statistical design and analysis of engineering experiments & problems Presents a student-friendly approach through providing statistical models for advanced learning techniques Covers essential and useful statistical methods used by engineers and scientists

**Author**: Neil A. Weiss

**Publisher:** Pearson Higher Ed

**ISBN:** 1292099739

**Category:** Mathematics

**Page:** 856

**View:** 1967

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.
*a modelling approach*

**Author**: James K. Lindsey

**Publisher:** Oxford University Press, USA

**ISBN:** 9780198523468

**Category:** Mathematics

**Page:** 214

**View:** 2732

*Use and Interpretation, Second Edition*

**Author**: George A. Morgan,Nancy L. Leech,Gene W. Gloeckner,Karen C. Barrett

**Publisher:** Psychology Press

**ISBN:** 1135617767

**Category:** Business & Economics

**Page:** 224

**View:** 5851

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.

**Author**: N.A

**Publisher:** Academic Press

**ISBN:** 0123846862

**Category:**

**Page:** N.A

**View:** 4563

**Author**: Neil A. Weiss

**Publisher:** N.A

**ISBN:** N.A

**Category:** Minitab

**Page:** 199

**View:** 4680

**Author**: CTI Reviews

**Publisher:** Cram101 Textbook Reviews

**ISBN:** 1497014794

**Category:** Education

**Page:** 45

**View:** 7710

Facts101 is your complete guide to Introductory Statistics. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

Full PDF Download Free

Privacy Policy

Copyright © 2018 Download PDF Site — Primer WordPress theme by GoDaddy