Elementary Statistics 3
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|Author||: William Navidi,William Cyrus Navidi,Barry Monk|
Navidi/Monk, Elementary Statistics was developed around three central themes - Clarity, Quality, and Accuracy. These central themes were born out of extensive market research and feedback from statistics instructors across the country. The authors paid close attention to how material is presented to students, ensuring that the content in the text is very clear, concise, and digestible.High quality exercises, examples and integration of technology are important aspects of an Introductory Statistics text. The authors have provided robust exercise sets that range in difficulty. They have also focused keen attention to ensure that examples provide clear instruction to students. Technology is integrated throughout the text, providing students examples of how to use the TI-83 Plus and TI-84 Plus Graphing Calculators, Microsoft Excel and Minitab.The accuracy of Elementary Statistics was a foundational principle always on the minds of the authors. While this certainly pertains to all aspects of the text, the authors also exhausted energy in ensuring the supplements have been developed to fit cohesively with the text.
|Author||: James E. Burt,Gerald M. Barber,David L. Rigby|
|Editor||: Guilford Press|
Introduces the techniques and concepts of statistics in human and physical geography. This book explains not only how to apply quantitative tools but also why and how they work. It helps students gain important skills for utilizing conventional and spatial statistics in their own research, as well as for critically evaluating the work of others.
|Author||: Ron Larson,Elizabeth Farber,Betsy Farber|
|Editor||: Pearson College Division|
ALERT: Before you purchase, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab & Mastering products. Packages Access codes for Pearson's MyLab & Mastering products may not be included when purchasing or renting from companies other than Pearson; check with the seller before completing your purchase. Used or rental books If you rent or purchase a used book with an access code, the access code may have been redeemed previously and you may have to purchase a new access code. Access codes Access codes that are purchased from sellers other than Pearson carry a higher risk of being either the wrong ISBN or a previously redeemed code. Check with the seller prior to purchase. -- Elementary Statistics: Picturing the World, Fifth Edition, offers our most accessible approach to statistics--with more than 750 graphical displays that illustrate data, readers are able to visualize key statistical concepts immediately. Adhering to the philosophy that students learn best by doing, this book relies heavily on examples-25% of the examples and exercises are new for this edition. Larson and Farber continue to demonstrate that statistics is all around us and that it's easy to understand.
|Author||: Mario F. Triola|
|Editor||: What's New in Statistics|
NOTE: Before purchasing, check with your instructor to ensure you select the correct ISBN. Several versions of the MyLab(tm) and Mastering(tm) platforms exist for each title, and registrations are not transferable. To register for and use MyLab or Mastering, 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 the MyLab platform may not be included, may be incorrect, or may be previously redeemed. Check with the seller before completing your purchase. For courses in Introductory Statistics. This package includes MyLab Statistics Real data bring statistics to life From opinion polls and clinical trials to self-driving cars, statistics influences and shapes the world around us. Best-selling author Marty Triola is committed to keeping Elementary Statistics Using the TI-83/84 Plus Calculator current -- with an unprecedented amount of current real data -- so that students of all majors understand the role of statistics in the world around them. In addition to an abundance of new data sets, examples, and exercises, the 5th Edition is even more effective for today's instructors with the addition of learning objectives as an organizational tool, larger data sets, and new topics and organization in line with advancements in statistics education. In addition, students will find more support in an all-new series of videos, additional opportunities for practice, and improved support for statistical software. Elementary Statistics Using the TI-83/84 Plus Calculator is part of a series that includes Elementary Statistics, Essentials of Statistics, and Elementary Statistics Using Excel. Data sets and other resources for this series are available at our website. Reach every student by pairing this text with MyLab Statistics MyLab(tm) Statistics is the teaching and learning platform that empowers instructors to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student. With MyLab Statistics and StatCrunch, an integrated web-based statistical software program, students learn the skills they need to interact with data in the real world. 0134880374 / 9780134880372 Elementary Statistics Using the TI-83/84 Plus Calculator Plus MyLab Statistics with Pearson eText - Access Card Package, 5/e Package consists of: 0134686942 / 9780134686943 Elementary Statistics Using the TI-83/84 Plus Calculator 0134869737 / 9780134869735 MyLab Statistics with Pearson eText - Standalone Access Card - for Elementary Statistics Using the TI-83/84 Plus Calculator
|Author||: Mario F. Triola|
Addison-Wesley is proud to celebrate the Tenth Edition of Elementary Statistics.& This text is highly regarded because of its engaging and understandable introduction to statistics. The&author's commitment to providing student-friendly guidance through the material and giving students opportunities to apply their newly learned skills in a real-world context has made Elementary Statistics the #1 best-seller in the market.
|Author||: Neil A. Weiss|
|Editor||: Pearson Higher Ed|
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Weiss’s Elementary Statistics, Eighth 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 2,000 exercises, most using real data, there is a wealth of opportunity for students to apply their knowledge and develop statistical literacy. The text is suitable for a one-semester course. Elementary Statistics, Eighth 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 of Elementary Statistics 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 Web sites. Elementary Statistics, Eighth Edition, takes a data-driven approach with more than 700 data sets documented by several hundred data sources. Datasets and other resources (where applicable) for this book are available here.
|Author||: Jack Levin,James Alan Fox,David Forde|
For courses in Statistics for Social Workers An introduction to statistics in the social sciences that balances theory and practice Elementary Statistics in Social Research provides a balanced overview of statistical analysis in the social sciences, providing coverage of both theoretical concepts and step-by-step computational techniques. Throughout this best-selling text, authors Jack Levin, James Alan Fox, and David Forde make statistics accessible to all readers, particularly those without a strong background in mathematics. Throughout the Twelfth Edition, detailed, step-by-step illustrations of statistical procedures help students to better grasp key concepts. NOTE: This ISBN is for a Pearson Books a la Carte edition: a convenient, three-hole-punched, loose-leaf text. In addition to the flexibility offered by this format, Books a la Carte editions offer students great value, as they cost significantly less than a bound textbook. Elementary Statistics in Social Research, Twelfth Edition is also available via REVEL(tm), an interactive learning environment that enables students to read, practice, and study in one continuous experience.
|Author||: Mario F. Triola,Jacci White|
The Videos on DVD provide a lecture for each section of the textbook. Video lectures cover important definitions, procedures and concepts from the section by working through examples and exercises from the textbook. Also featured are videos of all Chapter Review Exercises worked out by an instructor using tables and various technology. Videos have optional subtitles in English and Spanish.
|Author||: Mario F. Triola|
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. From SAT scores to job search methods, statistics influences and shapes the world around us. Marty Triola’s text continues to be the bestseller because it helps students understand the relationship between statistics and the world, bringing life to the theory and methods. Elementary Statistics Using Excel raises the bar with every edition by incorporating an unprecedented amount of real and interesting data that will help instructors connect with students today, and help them connect statistics to their daily lives. The Fifth Edition contains more than 1,800 exercises, 89% of which use real data and 85% of which are new. Hundreds of examples are included, 91% of which use real data and 84% of which are new.
|Author||: K. Hope|
Elementary Statistics: A Workbook serves as a guide to elementary statistics. This book presents the various mathematical symbols used in the calculation of mean and variance. Comprised of seven chapters, this book starts with an overview of the definition of several terms, including mean, variance, deviation score, sigma, and deviation score squared. This text then explores the method of calculation of the product-moment correlation coefficient r. Other chapters describe the analysis of variance, which provides us with one of the most effective ways of testing hypotheses. This book discusses as well the common assumption analysis of variance, which makes three assumptions that are not made by some other statistical methods. The final chapter deals with the importance of correlation coefficients and explains the analysis of the correlation matrix, which is only a shortcut to the analysis of the standardized score matrix. This book is a valuable resource for students, teachers, statisticians, and mathematicians.
|Author||: John E. Freund|
Key Benefit: Updated to reflect the latest technological advances in statistical tools, this solid text presents ideas and concepts more clearlyfor students who have. little or no background in statistics. The Tenth Edition retains all the elements and style that educators nationwide have come to expect--clear prose, excellent problems and precise presentation of mathematics involved--while eliminating some of the computational drudgery. The seamless integration of technology gives professors multiple teaching options. Key Topics: The volume outlines all aspects of summarizing data, possibilities and probabilities, rules of probability, expectations and decisions, distribution, sampling, problems of estimation, tests of hypotheses, analysis of variance, regression, correlation and nonparametric tests. Market: For Statistics professionals and others using elementary statistics.
|Author||: G. Barrie Wetherill|
This book is mainly based on lectures given by Professor D. R. Cox and myself at Birkbeck College over a period of eight to nine years. It began as a joint venture, but pressure of other work made it necessary for Professor Cox to withdraw early on. I have throughout received much valuable advice and encouragement from Professor Cox, but of course, I am solely responsible for the text, and any errors remaining in it. The book is intended as a first course on statistical methods, and there is a liberal supply of exercises. Although the mathematical level of the book is low, I have tried to explain carefully the logical reasoning behind the use of the methods discussed. Some of the exercises which require more difficult mathematics are marked with an asterisk, and these may be omitted. In this way, I hope that the book will satisfy the needs for a course on statistical methods at a range of mathematical levels. It is essential for the reader to work through the numerical exercises, for only in this way can he grasp the full meaning and usefulness of the statistical techniques, and gain practice in the interpretation of the results. Chapters 7 and 8 discuss methods appropriate for use on ranked or discrete data, and Chapters 9-12 do not depend on these chapters. Chapters 7 and 8 may therefore be omitted, if desired.
|Author||: Barbara Illowsky,Susan Dean|
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
|Author||: J.P. GOEL,KAUSHAL GOEL|
|Editor||: TRUEFRIEND PUBLICATIONS|
This edition largely focuses on simple, lucid and to the point explanation of the text. The book also aims at developing writing skills among the students i.e. how to write correct and to the point answers in examination. The numerical portion of the book has been dealt with effectively. The basics of numericals have been duly explained. The number of numericals both solved and unsolved has been raised. The author has an interaction with a large number of teachers in various seminars and workshops organized across different parts of the country. This book incorporates all the valuable suggestions received from the teachers.
|Author||: Trevor Hastie,Robert Tibshirani,Jerome Friedman|
|Editor||: Springer Science & Business Media|
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.