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| introductory statistics gould: Introductory Statistics Robert Gould, Colleen Nooter Ryan, Michelle Boué, 2016-01-15 We live in a data-driven world, and the goal of this Canadian text is to teach students how to access and analyze these data critically. Canadian authors Jim Stallard and Michelle Boué emphasize that learning statistics extends beyond the classroom to an essential life skill, and want Canadian 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. KEY TOPICS: Introduction to Data; Picturing Variation with Graphs; Numerical Summaries of Centre and Variation; Regression Analysis: Exploring Associations between Variables; Modelling Variation with Probability; Modeling Random Events: The Normal and Binomial Models; Survey Sampling and Inference; Hypothesis Testing for Population Proportions; Inferring Population Means; Associations between Categorical Variables; Multiple Comparisons and Analysis of Variance; Experimental Design: Controlling Variation; Inference without Normality;Inference for Regression MARKET: A textbook suitable for all introductory statistics courses |
| introductory statistics gould: Introductory Statistics Robert Gould, Colleen Nooter Ryan, 2013 Normal 0 false false false We live in a data-driven world, and this is a book about understanding and working with that data. In order to be informed citizens, authors Rob Gould and Colleen Ryan believe that learning statistics extends beyond the classroom to an essential life skill. They teach students of all math backgrounds how to think about data, how to reason using data, and how to make decisions based on data. With a clear, unintimidating writing style and carefully chosen pedagogy, Introductory Statistics: Exploring the World through Data makes data analysis accessible to all students. Guided Exercises support students by building their confidence as they learn to solve problems. Snapshots summarize statistical procedures and concepts for convenient studying. While this text assumes the use of statistical software, formulas are presented as an aid to understanding the concepts rather than the focus of study. Check Your Tech features demonstrate how students will get the same numerical value by-hand as when using statistical software. |
| introductory statistics gould: Essential Statistics, Global Edition Robert N. Gould, Colleen Ryan, Rebecca Wong, 2016-11-14 Exploring the World through Data We live in a data-driven world, and the goal of this text is to teach students how to access and analyse these data critically. Authors Rob Gould, Colleen Ryan, and Rebecca Wong want students to develop a data habit of mind because learning statistics is an essential life skill that extends beyond the classroom. 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. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. |
| introductory statistics gould: Introductory Statistics 2e Barbara Illowsky, Susan Dean, 2023-12-13 Introductory Statistics 2e provides an engaging, practical, and thorough overview of the core concepts and skills taught in most one-semester statistics courses. The text focuses on diverse applications from a variety of fields and societal contexts, including business, healthcare, sciences, sociology, political science, computing, and several others. The material supports students with conceptual narratives, detailed step-by-step examples, and a wealth of illustrations, as well as collaborative exercises, technology integration problems, and statistics labs. The text assumes some knowledge of intermediate algebra, and includes thousands of problems and exercises that offer instructors and students ample opportunity to explore and reinforce useful statistical skills. This is an adaptation of Introductory Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License. |
| introductory statistics gould: Using R for Introductory Statistics John Verzani, 2018-10-03 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 gould: Introducing Statistics Eileen Magnello, 2014-06-05 From the medicine we take, the treatments we receive, the aptitude and psychometric tests given by employers, the cars we drive, the clothes we wear to even the beer we drink, statistics have given shape to the world we inhabit. For the media, statistics are routinely 'damning', 'horrifying', or, occasionally, 'encouraging'. Yet, for all their ubiquity, most of us really don't know what to make of statistics. Exploring the history, mathematics, philosophy and practical use of statistics, Eileen Magnello - accompanied by Bill Mayblin's intelligent graphic illustration - traces the rise of statistics from the ancient Babylonians, Egyptians and Chinese, to the censuses of Romans and the Greeks, and the modern emergence of the term itself in Europe. She explores the 'vital statistics' of, in particular, William Farr, and the mathematical statistics of Karl Pearson and R.A. Fisher.She even tells how knowledge of statistics can prolong one's life, as it did for evolutionary biologist Stephen Jay Gould, given eight months to live after a cancer diagnoses in 1982 - and he lived until 2002. This title offers an enjoyable, surprise-filled tour through a subject that is both fascinating and crucial to understanding our world. |
| introductory statistics gould: Naked Statistics: Stripping the Dread from the Data Charles Wheelan, 2013-01-07 A New York Times bestseller Brilliant, funny…the best math teacher you never had. —San Francisco Chronicle Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called sexy. From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions. And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life. |
| introductory statistics gould: Introductory Statistics Stephen Kokoska, 2008-01-01 |
| introductory statistics gould: Introduction to Probability John E. Freund, 2012-05-11 Featured topics include permutations and factorials, probabilities and odds, frequency interpretation, mathematical expectation, decision making, postulates of probability, rule of elimination, much more. Exercises with some solutions. Summary. 1973 edition. |
| introductory statistics gould: An Introduction to Survival Analysis Using Stata, Second Edition Mario Cleves, 2008-05-15 [This book] provides new researchers with the foundation for understanding the various approaches for analyzing time-to-event data. This book serves not only as a tutorial for those wishing to learn survival analysis but as a ... reference for experienced researchers ...--Book jacket. |
| introductory statistics gould: The Mata Book William Gould, William W. Gould, 2018 The Mata Book: A Book for Serious Programmers and Those Who Want to Be is the book that Stata programmers have been waiting for. Mata is a serious programming language for developing small- and large-scale projects and for adding features to Stata. What makes Mata serious is that it provides structures, classes, and pointers along with matrix capabilities. The book is serious in that it covers those advanced features, and teaches them. The reader is assumed to have programming experience, but only some programming experience. That experience could be with Stata's ado language, or with Python, Java, C++, Fortran, or other languages like them. As the book says, being serious is a matter of attitude, not current skill level or knowledge. The author of the book is William Gould, who is also the designer and original programmer of Mata, of Stata, and who also happens to be the president of StataCorp. |
| introductory statistics gould: Population and Development W.T.S. Gould, 2008-11-19 Population and Development addresses important issues at the heart of the problems of developing countries. How these countries address the common difficulties of population growth, including mortality and fertility decline, population redistribution including internal migration and urbanization, and also international migration, for both source countries and for destination countries. How and why has population change affected development – both positively and negatively? How and why has development affected population change – both growth and distribution? The book opens with an introduction, preceding the ten substantive chapters, covering some of the broader issues for population studies and development studies and the relationships between them. The first three chapters set out the main concepts and theoretical discussions on how population affects development and also how development affects population. Detailed chapters then cover each of the three main components of population change – fertility, mortality and finally migration. These are followed by chapters on the impacts of age structures, including the potential for a demographic dividend, and of the more qualitative aspects of human resource development through formal education and ICTs, with further chapters on population policies and population futures. The book incorporates illustrative text boxes and case studies on regions in Africa, the Middle East and Asia which elaborate the broader theoretical and conceptual substance of the ten major chapters. Each chapter has ‘Discussion Questions’ and ‘Sources and Further Reading’ sections, and there is an extensive integrated References section. The arguments of the book bring together a large but fairly loosely integrated literature from population studies, development studies and geography in a conceptually coordinated, empirically wide-ranging and challenging discussion. It is targeted at an audience in undergraduate courses in Geography and in Masters courses in Development Studies and Population Studies. The books succinct but erudite structure means it can be used either as a course text book, or as a basic reference on a range of current issues and likely concerns at the interface between Geography, Development Studies and Population Studies. |
| introductory statistics gould: The Mismeasure of Man (Revised and Expanded) Stephen Jay Gould, 2006-06-17 The definitive refutation to the argument of The Bell Curve. When published in 1981, The Mismeasure of Man was immediately hailed as a masterwork, the ringing answer to those who would classify people, rank them according to their supposed genetic gifts and limits. And yet the idea of innate limits—of biology as destiny—dies hard, as witness the attention devoted to The Bell Curve, whose arguments are here so effectively anticipated and thoroughly undermined by Stephen Jay Gould. In this edition Dr. Gould has written a substantial new introduction telling how and why he wrote the book and tracing the subsequent history of the controversy on innateness right through The Bell Curve. Further, he has added five essays on questions of The Bell Curve in particular and on race, racism, and biological determinism in general. These additions strengthen the book's claim to be, as Leo J. Kamin of Princeton University has said, a major contribution toward deflating pseudo-biological 'explanations' of our present social woes. |
| introductory statistics gould: Statistics Done Wrong Alex Reinhart, 2015-03-01 Scientific progress depends on good research, and good research needs good statistics. But statistical analysis is tricky to get right, even for the best and brightest of us. You'd be surprised how many scientists are doing it wrong. Statistics Done Wrong is a pithy, essential guide to statistical blunders in modern science that will show you how to keep your research blunder-free. You'll examine embarrassing errors and omissions in recent research, learn about the misconceptions and scientific politics that allow these mistakes to happen, and begin your quest to reform the way you and your peers do statistics. You'll find advice on: –Asking the right question, designing the right experiment, choosing the right statistical analysis, and sticking to the plan –How to think about p values, significance, insignificance, confidence intervals, and regression –Choosing the right sample size and avoiding false positives –Reporting your analysis and publishing your data and source code –Procedures to follow, precautions to take, and analytical software that can help Scientists: Read this concise, powerful guide to help you produce statistically sound research. Statisticians: Give this book to everyone you know. The first step toward statistics done right is Statistics Done Wrong. |
| introductory statistics gould: Introduction to Probability David F. Anderson, Timo Seppäläinen, Benedek Valkó, 2017-11-02 This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of randomness, including events, probabilities, and random variables, the text offers the reader a first glimpse of the major theorems of the subject: the law of large numbers and the central limit theorem. The important probability distributions are introduced organically as they arise from applications. The discrete and continuous sides of probability are treated together to emphasize their similarities. Intended for students with a calculus background, the text teaches not only the nuts and bolts of probability theory and how to solve specific problems, but also why the methods of solution work. |
| introductory statistics gould: Joe Gould's Secret Joseph Mitchell, 2016-01-26 The story of a notorious New York eccentric and the journalist who chronicled his life: “A little masterpiece of observation and storytelling” (Ian McEwan). Joseph Mitchell was a cornerstone of the New Yorker staff for decades, but his prolific career was shattered by an extraordinary case of writer’s block. For the final thirty-two years of his life, Mitchell published nothing. And the key to his silence may lie in his last major work: the biography of a supposed Harvard grad turned Greenwich Village tramp named Joe Gould. Gould was, in Mitchell’s words, “an odd and penniless and unemployable little man who came to this city in 1916 and ducked and dodged and held on as hard as he could for over thirty-five years.” As Mitchell learns more about Gould’s epic Oral History—a reputedly nine-million-word collection of philosophizing, wanderings, and hearsay—he eventually uncovers a secret that adds even more intrigue to the already unusual story of the local legend. Originally written as two separate pieces (“Professor Sea Gull” in 1942 and then “Joe Gould’s Secret” twenty-two years later), this magnum opus captures Mitchell at his peak. As the reader comes to understand Gould’s secret, Mitchell’s words become all the more haunting. This ebook features an illustrated biography of Joseph Mitchell including rare images from the author’s estate. |
| introductory statistics gould: Full House Stephen Jay Gould, 2011-10 Gould shows why a more accurate way of understanding our world is to look at a given subject within its own context, to see it as a part of a spectrum of variation and then to reconceptualize trends as expansion or contraction of this “full house” of variation, and not as the progress or degeneration of an average value, or single thing. |
| introductory statistics gould: Starting Statistics Neil Burdess, 2010-02-17 Statistics: A Short, Clear Guide is an accessible, humorous and easy introduction to statistics for social science students. In this refreshing book, experienced author and academic Neil Burdess shows that statistics are not the result of some mysterious black magic, but rather the result of some very basic arithmetic. Getting rid of confusing x′s and y′s, he shows that it′s the intellectual questions that come before and after the calculations that are important: (i) What are the best statistics to use with your data? and (ii) What do the calculated statistics tell you? Statistics: A Short, Clear Guide aims to help students make sense of the logic of statistics and to decide how best to use statistics to analyse their own data. What′s more, it is not reliant on students having access to any particular kind of statistical software package. This is a very useful book for any student in the social sciences doing a statistics course or needing to do statistics for themselves for the first time. |
| introductory statistics gould: Guidelines for Assessment and Instruction in Statistics Education (GAISE) Report Christine A. Franklin, 2007 Statistics education as proposed in this framework can promote the must-have competencies for graduates to thrive in the modern world. |
| introductory statistics gould: International Handbook of Research in Statistics Education Dani Ben-Zvi, Katie Makar, Joan Garfield, 2017-12-08 This handbook connects the practice of statistics to the teaching and learning of the subject with contributions from experts in several disciplines. Chapters present current challenges and methods of statistics education in the changing world for statistics and mathematics educators. Issues addressed include current and future challenges in professional development of teachers, use of technology tools, design of learning environments and appropriate student assessments. This handbook presents challenging and inspiring international research perspectives on the history and nature, current issues, and future directions of statistics education and statistics education research. |
| introductory statistics gould: Introductory Statistics for the Life and Biomedical Sciences Julie Vu, David Harrington, 2020-03 Introduction to Statistics for the Life and Biomedical Sciences has been written to be used in conjunction with a set of self-paced learning labs. These labs guide students through learning how to apply statistical ideas and concepts discussed in the text with the R computing language.The text discusses the important ideas used to support an interpretation (such as the notion of a confidence interval), rather than the process of generating such material from data (such as computing a confidence interval for a particular subset of individuals in a study). This allows students whose main focus is understanding statistical concepts to not be distracted by the details of a particular software package. In our experience, however, we have found that many students enter a research setting after only a single course in statistics. These students benefit from a practical introduction to data analysis that incorporates the use of a statistical computing language.In a classroom setting, we have found it beneficial for students to start working through the labs after having been exposed to the corresponding material in the text, either from self-reading or through an instructor presenting the main ideas. The labs are organized by chapter, and each lab corresponds to a particular section or set of sections in the text.There are traditional exercises at the end of each chapter that do not require the use of computing. In the current posting, Chapters 1 - 5 have end-of-chapter exercises. More complicated methods, such as multiple regression, do not lend themselves to hand calculation and computing is necessary for gaining practical experience with these methods. The lab exercises for these later chapters become an increasingly important part of mastering the material.An essential component of the learning labs are the Lab Notes accompanying each chapter. The lab notes are a detailed reference guide to the R functions that appear in the labs, written to be accessible to a first-time user of a computing language. They provide more explanation than available in the R help documentation, with examples specific to what is demonstrated in the labs. |
| introductory statistics gould: Understanding Research Methods and Statistics in Psychology Helen Gavin, 2008-02-18 Understanding and applying research methods and statistics in psychology is one of the corner stones of study at undergraduate level. To enable all undergraduate psychology students to carry out their own investigations the textbook covers basic and advanced qualitative and quantitative methods and follows a sequential structure starting from first principles to more advanced techniques. Accompanied by a companion website, the textbook: - Grounds all techniques to psychological theory relating each topic under discussion to well established pieces of research - Can be used by the student at beginning and more advanced undergraduate level - therefore a `one-stop′ shop - Includes a creative and practical selection of heuristic devices that cement knowledge of the techniques and skills covered in the textbook |
| introductory statistics gould: The Structure of Evolutionary Theory Stephen Jay Gould, 2002-03-21 The world’s most revered and eloquent interpreter of evolutionary ideas offers here a work of explanatory force unprecedented in our time—a landmark publication, both for its historical sweep and for its scientific vision. With characteristic attention to detail, Stephen Jay Gould first describes the content and discusses the history and origins of the three core commitments of classical Darwinism: that natural selection works on organisms, not genes or species; that it is almost exclusively the mechanism of adaptive evolutionary change; and that these changes are incremental, not drastic. Next, he examines the three critiques that currently challenge this classic Darwinian edifice: that selection operates on multiple levels, from the gene to the group; that evolution proceeds by a variety of mechanisms, not just natural selection; and that causes operating at broader scales, including catastrophes, have figured prominently in the course of evolution. Then, in a stunning tour de force that will likely stimulate discussion and debate for decades, Gould proposes his own system for integrating these classical commitments and contemporary critiques into a new structure of evolutionary thought. In 2001 the Library of Congress named Stephen Jay Gould one of America’s eighty-three Living Legends—people who embody the “quintessentially American ideal of individual creativity, conviction, dedication, and exuberance.” Each of these qualities finds full expression in this peerless work, the likes of which the scientific world has not seen—and may not see again—for well over a century. |
| introductory statistics gould: Introductory Statistics with R Peter Dalgaard, 2008-06-27 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 gould: A Modern Approach to Regression with R Simon Sheather, 2009-02-27 This book focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models. Plots are shown to be an important tool for both building regression models and assessing their validity. We shall see that deciding what to plot and how each plot should be interpreted will be a major challenge. In order to overcome this challenge we shall need to understand the mathematical properties of the fitted regression models and associated diagnostic procedures. As such this will be an area of focus throughout the book. In particular, we shall carefully study the properties of resi- als in order to understand when patterns in residual plots provide direct information about model misspecification and when they do not. The regression output and plots that appear throughout the book have been gen- ated using R. The output from R that appears in this book has been edited in minor ways. On the book web site you will find the R code used in each example in the text. |
| introductory statistics gould: Developing Students’ Statistical Reasoning Joan Garfield, Dani Ben-Zvi, 2008-09-08 Increased attention is being paid to the need for statistically educated citizens: statistics is now included in the K-12 mathematics curriculum, increasing numbers of students are taking courses in high school, and introductory statistics courses are required in college. However, increasing the amount of instruction is not sufficient to prepare statistically literate citizens. A major change is needed in how statistics is taught. To bring about this change, three dimensions of teacher knowledge need to be addressed: their knowledge of statistical content, their pedagogical knowledge, and their statistical-pedagogical knowledge, i.e., their specific knowledge about how to teach statistics. This book is written for mathematics and statistics educators and researchers. It summarizes the research and highlights the important concepts for teachers to emphasize, and shows the interrelationships among concepts. It makes specific suggestions regarding how to build classroom activities, integrate technological tools, and assess students’ learning. This is a unique book. While providing a wealth of examples through lessons and data sets, it is also the best attempt by members of our profession to integrate suggestions from research findings with statistics concepts and pedagogy. The book’s message about the importance of listening to research is loud and clear, as is its message about alternative ways of teaching statistics. This book will impact instructors, giving them pause to consider: Is what I’m doing now really the best thing for my students? What could I do better? J. Michael Shaughnessy, Professor, Dept of Mathematical Sciences, Portland State University, USA This is a much-needed text for linking research and practice in teaching statistics. The authors have provided a comprehensive overview of the current state-of-the-art in statistics education research. The insights they have gleaned from the literature should be tremendously helpful for those involved in teaching and researching introductory courses. Randall E. Groth, Assistant Professor of Mathematics Education, Salisbury University, USA |
| introductory statistics gould: BioStats Basics James L. Gould, Grant F. Gould, 2002 BioStats Basics provides introductory-level biology students with a practical and accessible introduction to statistical research. Engaging and informal, the book avoids excessive theoretical and mathematical detail to focus on how core statistical methods are put to work in biology. Students learn the essentials in probability that enable skillful experiment design and the correct use of statistical tests. Everyday examples, are drawn from ecology, animal physiology, animal behavior, medicine, and other areas of biology, are used the clarify methods. The accompanying Web site, www.whfreeman.com/gould is closely integrated with the text, providing crucial tutorials (explanations of tests alongside simulations) plus data analysis tools for completing the text’s exercises. |
| introductory statistics gould: First (and Second) Steps in Statistics Daniel B Wright, Kamala London, 2009-03-18 ′This engagingly written and nicely opinionated book is a blend of friendly introduction and concisely applicable detail. No-one can recall every statistical formula, but if they have this book they will know where to look′ - Professor Jon May, University of Plymouth ′This is one of the best books I have come across for teaching introductory statistics. The illustrative examples are engaging and often humorous and the explanations of ′difficult′ concepts are written in a wonderfully clear and intuitive way′ - Nick Allum, University of Essex Selected as an Outstanding Academic Title by Choice Magazine, January 2010 First (and Second) Steps in Statistics, Second Edition provides a clear and concise introduction to the main statistical procedures used in the social and behavioural sciences and is perfect for the statistics student starting their journey. The rationale and procedure for analyzing data are presented through exciting examples with an emphasis on understanding rather than computation. It is ideally suited for introductory courses in statistics given its gentle beginning, yet progressive treatment of topics. In addition to descriptive statistics, graphs, t-tests, oneway ANOVAs, Chi-square, and simple linear regression, this Second Edition now includes some new, more advanced topic areas as well as a host of additional examples to help students confidently progress through their studies and apply the techniques in lab work, reports and research projects. Key features of this new edition: - the reoganization of the first three chapters giving more attention to univariate statistics and providing more examples to work through at this level - more advanced ′second step′ content has been added on factorial ANOVA and multiple regression - the robust methods chapter from the first edition is now spread throughout the book, and is linked with common teaching practices. - many more examples have been added to enhance the book′s practical potential. - a host of exercises as well as further reading sections at the end of every chapter. An accompanying Web page includes information for each chapter using the statistical packages SPSS and R. |
| introductory statistics gould: The Data Detective Tim Harford, 2021-02-02 From “one of the great (greatest?) contemporary popular writers on economics” (Tyler Cowen) comes a smart, lively, and encouraging rethinking of how to use statistics. Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics—we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us.” If we can toss aside our fears and learn to approach them clearly—understanding how our own preconceptions lead us astray—statistics can point to ways we can live better and work smarter. As “perhaps the best popular economics writer in the world” (New Statesman), Tim Harford is an expert at taking complicated ideas and untangling them for millions of readers. In The Data Detective, he uses new research in science and psychology to set out ten strategies for using statistics to erase our biases and replace them with new ideas that use virtues like patience, curiosity, and good sense to better understand ourselves and the world. As a result, The Data Detective is a big-idea book about statistics and human behavior that is fresh, unexpected, and insightful. |
| introductory statistics gould: Oryx and Crake Margaret Atwood, 2010-07-27 A stunning and provocative new novel by the internationally celebrated author of The Blind Assassin, winner of the Booker Prize. Margaret Atwood’s new novel is so utterly compelling, so prescient, so relevant, so terrifyingly-all-too-likely-to-be-true, that readers may find their view of the world forever changed after reading it. This is Margaret Atwood at the absolute peak of her powers. For readers of Oryx and Crake, nothing will ever look the same again. The narrator of Atwood's riveting novel calls himself Snowman. When the story opens, he is sleeping in a tree, wearing an old bedsheet, mourning the loss of his beloved Oryx and his best friend Crake, and slowly starving to death. He searches for supplies in a wasteland where insects proliferate and pigoons and wolvogs ravage the pleeblands, where ordinary people once lived, and the Compounds that sheltered the extraordinary. As he tries to piece together what has taken place, the narrative shifts to decades earlier. How did everything fall apart so quickly? Why is he left with nothing but his haunting memories? Alone except for the green-eyed Children of Crake, who think of him as a kind of monster, he explores the answers to these questions in the double journey he takes - into his own past, and back to Crake's high-tech bubble-dome, where the Paradice Project unfolded and the world came to grief. With breathtaking command of her shocking material, and with her customary sharp wit and dark humour, Atwood projects us into an outlandish yet wholly believable realm populated by characters who will continue to inhabit our dreams long after the last chapter. |
| introductory statistics gould: The Richness of Life Stephen Jay Gould, 2007 This spotlight on an extraordinary mind collects the most entertaining and enlightening writings by the beloved paleontologist, evolutionary biologist, and celebrant of the wonder of life. 20 illustrations. |
| introductory statistics gould: Thirty Readings in Introductory Sociology Kenneth Alan Gould, Tammy L. Lewis, 2016-06 Thirty Readings in Introductory Sociology, Second Edition, introduces students to the field of sociology in an engaging, accessible manner. Designed to be used alone or with its companion, Ten Lessons in Introductory Sociology, the book is organized around four themes commonly examined in introductory courses: Why sociology? What unites society? What divides society? and How do societies change? Rather than provide encyclopedic responses to such questions, Thirty Readings in Introductory Sociology engages students in critical thinking while presenting key concepts and methods in sociology. Edited by Kenneth A. Gould and Tammy L. Lewis, the text raises sociological questions, applies a sociological lens, illustrates how data are used, and presents core topics in a way that is easy for students to grasp. Each section begins with an introduction by Gould and Lewis, followed by three readings: one classical, one that uses qualitative data, and a third that uses quantitative data. |
| introductory statistics gould: Introductory Biological Statistics John E. Havel, Raymond E. Hampton, Scott J. Meiners, 2019-04-30 A thorough understanding of biology, no matter which subfield, requires a thorough understanding of statistics. As in previous editions, Havel and Hampton (with new co-author Scott Meiners) ground students in all essential methods of descriptive and inferential statistics, using examples from different biological sciences. The authors have retained the readable, accessible writing style popular with both students and instructors. Pedagogical improvements new to this edition include concept checks in all chapters to assist students in active learning and code samples showing how to solve many of the book's examples using R. Each chapter features numerous practice and homework exercises, with larger data sets available for download at waveland.com. |
| introductory statistics gould: Graph Theory Ronald Gould, 2013-10-03 An introductory text in graph theory, this treatment covers primary techniques and includes both algorithmic and theoretical problems. Algorithms are presented with a minimum of advanced data structures and programming details. 1988 edition. |
| introductory statistics gould: Rex Kathleen Duey, 2006-07-01 Dressed in camouflage and armed with slingshots, six kids travel back in time and try to get video footage of dinosaurs. |
| introductory statistics gould: Thirty Years with Stata Enrique Pinzon, 2015-07-30 This volume is a sometimes serious and sometimes whimsical retrospective of Stata, its development, and its use over the last 30 years. The view from the inside opens with an essay by Bill Gould, Stata's president and cofounder, that discusses the challenges and concepts that guided the design and implementation of Stata. This is followed by an interview of Bill by Joe Newton that discusses Bill's early interest in computing, his early work on a program for matching prom dates in the days when you had to purchase time on computers, and further exploration of the guiding principles behind Stata. Finally, Sean Becketti, Stata's first employee, delves into the not-to-be-missed culture of Stata in its infancy. The view from the outside comprises 14 essays by prominent researchers and members of the Stata community. Most discuss Stata's use and evolution in disciplines such as behavioral sciences, business, economics, epidemiology, time series, political science, public health, public policy, veterinary epidemiology, and statistics. Some take a sweeping overview. Others are more intimate personal recollections. Mostly, we simply wanted to celebrate the relationship between Stata users and Stata software. We hope that this volume holds something interesting for everyone. |
| introductory statistics gould: Basic Technical Mathematics with Calculus Allyn J. Washington, Michelle Boué, Richard Evans, Elizabeth Fabbroni Martin, 2019-02-07 This tried-and-true text from Allyn Washington builds on the author's highly regarded approach to technical math, while enhancing its pedagogy with full-colour figures and boxes that warn students of Common Errors. Appropriate for a two- to three-semester course, Basic Technical Mathematics with Calculus shows how algebra, trigonometry and basic calculus are used on the job. KEY TOPICS: Basic Algebraic Operations;Geometry;Functions and Graphs;Trigonometric Functions;Systems of Linear Equations; Determinants;Factoring and Fractions; Quadratic Functions;Trigonometric Functions of Any Angle;Vectors and Oblique Triangles;Graphs of Trigonometric Functions;Exponents and Radicals;Complex Numbers;Exponents and Logarithmic Functions;Additional Types of Equations and Systems of Equations;Equations of Higher Degree;Matrices; Systems of Linear Equations;Inequalities;Variation;Sequences and The Binomial Theorem;Additional Topics in Trigonometry;Plane Analytic Geometry;Introduction to Statistics;The Derivative; Applications of the Derivative;Integration;Applications of Integration;Differentiation of Transcendental Functions;Methods of Integration;Partial Derivatives and Double Integrals;Expansion of Functions in Series;Differential Equations MARKET: Appropriate for Technical Mathematics courses. |
| introductory statistics gould: Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II) Anna Bargagliotti, Christine Franklin, Pip Arnold, Rob Gould, 2020 This document lays out a curriculum framework for pre-K-12 educational programs that is designed to help students achieve data literacy and become statistically literate. The framework and subsequent sections in this book recommend curriculum and implementation strategies covering pre-K-12 statistics education-- |
| introductory statistics gould: Dawkins Vs. Gould Kim Sterelny, 2007 Already an international bestseller, this completely revised edition updates the story of science's most bitter argument. |
| introductory statistics gould: Ten Lessons in Introductory Sociology Kenneth Alan Gould, 2021-10 Designed to introduce students to key concepts and methods in sociology and to engage them in critical thinking, Ten Lessons in Introductory Sociology provides a brief and valuable overview to four major questions that guide the discipline: * Why sociology? * What unites us? * What divides us? * How do societies change? Deftly balancing breadth and depth, the book makes the study of sociology accessible, relevant, and meaningful. Contextualizing the most important issues, Ten Lessons helps students discover the sociological imagination and what it means to be part of an engaged public discourse-- |
INTRODUCTORY Definition & Meaning - Merriam-Webster
May 31, 2012 · The meaning of INTRODUCTORY is of, relating to, or being a first step that sets something going or in proper perspective. How to use introductory in a sentence.
INTRODUCTORY | English meaning - Cambridge Dictionary
INTRODUCTORY definition: 1. existing, used, or experienced for the first time: 2. written or said at the beginning: 3…. Learn more.
Introductory - definition of introductory by The Free Dictionary
introductory - serving to open or begin; "began the slide show with some introductory remarks"
Introductory Definition & Meaning | Britannica Dictionary
INTRODUCTORY meaning: 1 : providing information about someone who is about to speak, perform, etc., or something that is about to begin; 2 : providing basic information about a subject
introductory adjective - Definition, pictures, pronunciation and …
Definition of introductory adjective in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
INTRODUCTORY - Meaning & Translations | Collins English …
Master the word "INTRODUCTORY" in English: definitions, translations, synonyms, pronunciations, examples, and grammar insights - all in one complete resource.
Introductory - Definition, Meaning & Synonyms
Something introductory prefaces or explains what comes after it. An introductory paragraph at the start of your essay will sum up the ideas you plan to discuss.
INTRODUCTORY Definition & Meaning | Dictionary.com
See examples of INTRODUCTORY used in a sentence.
What does Introductory mean? - Definitions.net
Introductory refers to the initial stage or part intended to introduce someone or something. It is designed to provide preliminary or basic knowledge or information about a subject, concept or …
INTRODUCTORY Synonyms: 62 Similar and Opposite Words - Merriam-Webster
Synonyms for INTRODUCTORY: preliminary, preparatory, primary, prefatory, beginning, preparative, basic, precursory; Antonyms of INTRODUCTORY: following, subsequent, after, …
INTRODUCTORY Definition & Meaning - Merriam-Webster
May 31, 2012 · The meaning of INTRODUCTORY is of, relating to, or being a first step that sets something going or in proper perspective. How to use introductory in a sentence.
INTRODUCTORY | English meaning - Cambridge Dictionary
INTRODUCTORY definition: 1. existing, used, or experienced for the first time: 2. written or said at the beginning: 3…. Learn more.
Introductory - definition of introductory by The Free Dictionary
introductory - serving to open or begin; "began the slide show with some introductory remarks"
Introductory Definition & Meaning | Britannica Dictionary
INTRODUCTORY meaning: 1 : providing information about someone who is about to speak, perform, etc., or something that is about to begin; 2 : providing basic information about a subject
introductory adjective - Definition, pictures, pronunciation and …
Definition of introductory adjective in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
INTRODUCTORY - Meaning & Translations | Collins English …
Master the word "INTRODUCTORY" in English: definitions, translations, synonyms, pronunciations, examples, and grammar insights - all in one complete resource.
Introductory - Definition, Meaning & Synonyms - Vocabulary.com
Something introductory prefaces or explains what comes after it. An introductory paragraph at the start of your essay will sum up the ideas you plan to discuss.
INTRODUCTORY Definition & Meaning | Dictionary.com
See examples of INTRODUCTORY used in a sentence.
What does Introductory mean? - Definitions.net
Introductory refers to the initial stage or part intended to introduce someone or something. It is designed to provide preliminary or basic knowledge or information about a subject, concept or …
INTRODUCTORY Synonyms: 62 Similar and Opposite Words - Merriam-Webster
Synonyms for INTRODUCTORY: preliminary, preparatory, primary, prefatory, beginning, preparative, basic, precursory; Antonyms of INTRODUCTORY: following, subsequent, after, …
