statistics data

Statistics Applied With Excel Data Analysis Is (Not) an Art【電子書籍】 Franz Kronthalerこの世で一番おもしろい統計学 誰も「データ」でダマされなくなるかもしれない16講 α / 原タイトル:THE CARTOON INTRODUCTION TO STATISTICS 本/雑誌 (単行本 ムック) / アラン ダブニー/著 グレディ クライン/イラスト 山形浩生/訳Basic Statistics with R Reaching Decisions with Data【電子書籍】 Stephen C. LoftusStatistics with Julia Fundamentals for Data Science, Machine Learning and Artificial Intelligence【電子書籍】 Yoni Nazarathy【中古】Vol.III Order statistics based on weakly dependent data Weakly Dependent Stochastic Sequences and Their Applications（単行本）Becoming a Data Head How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning【電子書籍】 Alex J. GutmanApplied Spatial Statistics and Econometrics Data Analysis in R【電子書籍】 Katarzyna KopczewskaStatistics and Analysis of Scientific Data【電子書籍】 Massimiliano Bonamente【中古】Vol.III Order statistics based on weakly dependent data Weakly Dependent Stochastic Sequences and Their Applications（単行本）Standard Deviations Flawed Assumptions, Tortured Data and Other Ways to Lie With Statistics【電子書籍】 Gary SmithBusiness Statistics and Data Processing by Knowledge flow【電子書籍】 Knowledge flowNaked Statistics: Stripping the Dread from the Data NAKED STATISTICS Charles WheelanThe Art of Statistics Learning from Data【電子書籍】 David SpiegelhalterR Cookbook Proven Recipes for Data Analysis, Statistics, and Graphics【電子書籍】 JD LongPractical Statistics for Data Scientists 50 Essential Concepts Using R and Python【電子書籍】 Peter BruceStatistics With R Solving Problems Using Real-World Data【電子書籍】 Jenine K. HarrisThe Art of Statistics How to Learn from Data【電子書籍】 David SpiegelhalterThe Data Detective Ten Easy Rules to Make Sense of Statistics【電子書籍】 Tim HarfordBig Data for Twenty-First-Century Economic Statistics【電子書籍】Naked Statistics: Stripping the Dread from the Data【電子書籍】 Charles Wheelan

Statistics Applied With Excel Data Analysis Is (Not) an Art【電子書籍】[ Franz Kronthaler ]

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  • ＜p＞This book shows you how to analyze data sets systematically and to use Excel 2019 to extract information from data almost effortlessly. Both are (not) an art!＜/p＞ ＜p＞The statistical methods are presented and discussed using a single data set. This makes it clear how the methods build on each other and gradually more and more information can be extracted from the data. The Excel functions used are explained in detail - the procedure can be easily transferred to other data sets.＜/p＞ ＜p＞Various didactic elements facilitate orientation and working with the book: At the checkpoints, the most important aspects from each chapter are briefly summarized. In the freak knowledge section, more advanced aspects are addressed to whet the appetite for more. All examples are calculated with hand and Excel. Numerous applications and solutions as well as further data sets are available on the author's internet platform.＜/p＞ ＜p＞This book is a translation of the original German 2nd edi...

    • この世で一番おもしろい統計学 誰も「データ」でダマされなくなるかもしれない16講+α / 原タイトル:THE CARTOON INTRODUCTION TO STATISTICS[本/雑誌] (単行本・ムック) / アラン・ダブニー/著 グレディ・クライン/イラスト 山形浩生/訳

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  • ご注文前に必ずご確認ください＜商品説明＞もうp値も標準偏差も怖くない!過激なツッコミとユーモアあふれるマンガで統計学だってこんなにわかりやすくなる!ビッグデータ時代を生き残るための最強の入門書。＜収録内容＞1 統計を集めよう(はじめに—どうして統計学が必要なの?数字—あなたを惑わす身近な存在無作為に集めた生データ—主観という偏見を取り去るべし並べ替え(ソート)—グラフはデータを「見える化」するためにある探偵仕事と標準偏差—標本を見極めるための「4種の神器」化け物じみたまちがい—こっそり潜む「変数」に気をつけろ!標本から母集団へ—「直接はかれないもの」をはかるにはどうすればいい?)2 パラメータを探そう(正規分布と中心極限定理—データは「釣り鐘形」になる(長い目で見れば)中心極限定理と確率—正規分布が便利な2つの理由推定—たった1つの無作為標本からヒントを引き出すための「お絵かき」信頼度—「しっぽ」を切れば、ほしい数値が見えてくる信頼度の推定を応用しよう—「憎しみ」を数直線にのせて仮説検定とp値—「当てずっぽう」で見えてくる真実もある仮説検定を応用しよう—その新しくて魅力的なアイデアは正しいの?もっと学べば何がわかる?—...

    • Basic Statistics with R Reaching Decisions with Data【電子書籍】[ Stephen C. Loftus ]

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  • ＜p＞＜em＞Basic Statistics with R: Reaching Decisions with Data＜/em＞ provides an understanding of the processes at work in using data for results. Sections cover data collection and discuss exploratory analyses, including visual graphs, numerical summaries, and relationships between variables - basic probability, and statistical inference - including hypothesis testing and confidence intervals. All topics are taught using real-data drawn from various fields, including economics, biology, political science and sports. Using this wide variety of motivating examples allows students to directly connect and make statistics essential to their field of interest, rather than seeing it as a separate and ancillary knowledge area.＜/p＞ ＜p＞In addition to introducing students to statistical topics using real data, the book provides a gentle introduction to coding, having the students use the statistical language and software R. Students learn to load data, calculate summary statistics, cre...

    • Statistics with Julia Fundamentals for Data Science, Machine Learning and Artificial Intelligence【電子書籍】[ Yoni Nazarathy ]

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  • ＜p＞This monograph uses the Julia language to guide the reader through an exploration of the fundamental concepts of probability and statistics, all with a view of mastering machine learning, data science, and artificial intelligence. The text does not require any prior statistical knowledge and only assumes a basic understanding of programming and mathematical notation. It is accessible to practitioners and researchers in data science, machine learning, bio-statistics, finance, or engineering who may wish to solidify their knowledge of probability and statistics.＜/p＞ ＜p＞The book progresses through ten independent chapters starting with an introduction of Julia, and moving through basic probability, distributions, statistical inference, regression analysis, machine learning methods, and the use of Monte Carlo simulation for dynamic stochastic models. Ultimately this text introduces the Julia programming language as a computational tool, uniquely addressing end-users rather than...

    • 【中古】Vol.III Order statistics based on weakly dependent data Weakly Dependent Stochastic Sequences and Their Applications（単行本）

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  • ◆◆◆おおむね良好な状態です。中古商品のため若干のスレ、日焼け、使用感等ある場合がございますが、品質には十分注意して発送いたします。 【毎日発送】 商品状態 著者名 著:吉原 健一 出版社名 三省堂 発売日 2015-04-01 ISBN 9784385355276

    • Becoming a Data Head How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning【電子書籍】[ Alex J. Gutman ]

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  • ＜p＞＜strong＞"Turn yourself into a Data Head. You'll become a more valuable employee and make your organization more successful."＜/strong＞＜br /＞ Thomas H. Davenport, Research Fellow, Author of ＜em＞Competing on Analytics＜/em＞, ＜em＞Big Data @ Work＜/em＞, and ＜em＞The AI Advantage＜/em＞＜/p＞ ＜p＞＜strong＞You've heard the hype around dataーnow get the facts.＜/strong＞＜/p＞ ＜p＞In ＜em＞Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning＜/em＞, award-winning data scientists Alex Gutman and Jordan Goldmeier pull back the curtain on data science and give you the language and tools necessary to talk and think critically about it.＜/p＞ ＜p＞You'll learn how to:＜/p＞ ＜ul＞ ＜li＞Think statistically and understand the role variation plays in your life and decision making＜/li＞ ＜li＞Speak intelligently and ask the right questions about the statistics and results you encounter in the workplace＜/li＞ ＜li＞Understand...

    • Applied Spatial Statistics and Econometrics Data Analysis in R【電子書籍】[ Katarzyna Kopczewska ]

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  • ＜p＞This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcases key topics, including unsupervised learning, causal inference, spatial weight matrices, spatial econometrics, heterogeneity and bootstrapping. It is accompanied by a suite of data and R code on Github to help readers practise techniques via replication and exercises.＜/p＞ ＜p＞This text will be a valuable resource for advanced students of econometrics, spatial planning and regional science. It will also be suitable for researchers and data scientists working with spatial data.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。

    • Statistics and Analysis of Scientific Data【電子書籍】[ Massimiliano Bonamente ]

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  • ＜p＞The revised second edition of this textbook provides the reader with a solid foundation in probability theory and statistics as applied to the physical sciences, engineering and related fields. It covers a broad range of numerical and analytical methods that are essential for the correct analysis of scientific data, including probability theory, distribution functions of statistics, fits to two-dimensional data and parameter estimation, Monte Carlo methods and Markov chains.＜/p＞ ＜p＞Features new to this edition include:＜/p＞ ＜p＞? a discussion of statistical techniques employed in business science, such as multiple regression analysis of multivariate datasets.＜br /＞ ? a new chapter on the various measures of the mean including logarithmic averages.＜br /＞ ? new chapters on systematic errors and intrinsic scatter, and on the fitting of data with bivariate errors.＜br /＞ ? a new case study and additional worked examples.＜br /＞ ? mathematical derivations and theoretical...

    • 【中古】Vol.III Order statistics based on weakly dependent data Weakly Dependent Stochastic Sequences and Their Applications（単行本）

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  • ◆◆◆非常にきれいな状態です。中古商品のため使用感等ある場合がございますが、品質には十分注意して発送いたします。 【毎日発送】 商品状態 著者名 著:吉原 健一 出版社名 三省堂 発売日 2015-04-01 ISBN 9784385355276

    • Standard Deviations Flawed Assumptions, Tortured Data and Other Ways to Lie With Statistics【電子書籍】[ Gary Smith ]

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  • ＜p＞Did you know that having a messy room will make you racist? Or that human beings possess the ability to postpone death until after important ceremonial occasions? Or that people live three to five years longer if they have positive initials, like ACE? All of these 'facts' have been argued with a straight face by researchers and backed up with reams of data and convincing statistics. As Nobel Prize-winning economist Ronald Coase once cynically observed, 'If you torture data long enough, it will confess.' Lying with statistics is a time-honoured con. In Standard Deviations, economics professor Gary Smith walks us through the various tricks and traps that people use to back up their own crackpot theories. Sometimes, the unscrupulous deliberately try to mislead us. Other times, the well-intentioned are blissfully unaware of the mischief they are committing. Today, data is so plentiful that researchers spend precious little time distinguishing between good, meaningful deductions and...

    • Business Statistics and Data Processing by Knowledge flow【電子書籍】[ Knowledge flow ]

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  • ＜p＞★★★★★LEARNING STARTS WITH VIEWING THE WORLD DIFFERENTLY. ★★★★★＜/p＞ ＜p＞Knowledge flow ー A mobile learning platform provides Apps and Books.＜/p＞ ＜p＞Knowledge flow provides learning book of Business Statistics and Data Processing. This statistics book covers graphical models, sampling, regression analysis and hypothesis. Statistics collecting and analyzing data to organizing data. This book is for all commerce and management students, teachers and professionals across the world.＜/p＞ ＜p＞Contents:＜/p＞ ＜p＞1. Introduction to Business Statistics＜/p＞ ＜p＞2. Statistical Data＜/p＞ ＜p＞3. Sources and Collection of Data＜/p＞ ＜p＞4. Statistical Errors＜/p＞ ＜p＞5. Sampling＜/p＞ ＜p＞6. Measures of Central Tendency＜/p＞ ＜p＞7. Measures of Dispersion＜/p＞ ＜p＞8. Correlation＜/p＞ ＜p＞9. Regression＜/p＞ ＜p＞10. Testing of Hypothesis＜/p＞ ＜p＞To find more education books, visit here knowledgeflow.in/books.＜/p＞画面が切り替わりますので、しばらくお待ち下さ...

    • Naked Statistics: Stripping the Dread from the Data NAKED STATISTICS [ Charles Wheelan ]

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  • NAKED STATISTICS Charles Wheelan W W NORTON & CO2014 Paperback English ISBN：9780393347777 洋書 Computers & Science（コンピューター＆科学） Mathematics

    • The Art of Statistics Learning from Data【電子書籍】[ David Spiegelhalter ]

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  • ＜p＞＜strong＞'A statistical national treasure' Jeremy Vine, BBC Radio 2＜/strong＞＜/p＞ ＜p＞＜strong＞'Required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics. A tour de force＜/strong＞' ＜em＞Popular Science＜/em＞＜/p＞ ＜p＞Do busier hospitals have higher survival rates? How many trees are there on the planet? Why do old men have big ears? ＜strong＞David Spiegelhalter＜/strong＞ reveals the answers to these and many other questions - questions that can only be addressed using statistical science.＜/p＞ ＜p＞Statistics has played a leading role in our scientific understanding of the world for centuries, yet ＜strong＞we are all familiar with the way statistical claims can be sensationalised＜/strong＞, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of ＜strong＞statistical literacy is more important than ever＜/strong＞.＜/p＞ ＜p...

    • R Cookbook Proven Recipes for Data Analysis, Statistics, and Graphics【電子書籍】[ JD Long ]

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  • ＜p＞Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression.＜/p＞ ＜p＞Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you’re a beginner, ＜em＞R Cookbook＜/em＞ will help get you started. If you’re an intermediate user, this book will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process.＜/p＞ ＜ul＞ ＜li＞Create vectors, handle variables, and perform basic functions＜/li＞ ＜li＞Simplify data input and output＜/li＞ ＜li＞Tackle data structures such as matrices, lists, factors, and data...

    • Practical Statistics for Data Scientists 50+ Essential Concepts Using R and Python【電子書籍】[ Peter Bruce ]

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  • ＜p＞Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what’s important and what’s not.＜/p＞ ＜p＞Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.＜/p＞ ＜p＞With this book, you’ll learn:＜/p＞ ＜ul＞ ＜li＞Why exploratory data analysis is a key preliminary step in data science＜/li＞ ＜li＞How random sampling can reduce bias and yield a higher-quality dataset, even with big data＜/li＞ ＜li＞Ho...

    • Statistics With R Solving Problems Using Real-World Data【電子書籍】[ Jenine K. Harris ]

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  • ＜p＞＜em＞＜strong＞Recipient of a 2021 Most Promising New Textbook Award from the Textbook & Academic Authors Association (TAA)＜/strong＞＜/em＞＜/p＞ ＜p＞"＜strong＞Statistics with R＜/strong＞ is easily the most accessible and almost fun introduction to statistics and R that I have read. Even the most hesitant student is likely to embrace the material with this text."＜/p＞ ＜p＞ーDavid A.M. Peterson, ＜em＞Department of Political Science, Iowa State University＜/em＞＜/p＞ ＜p＞Drawing on examples from across the social and behavioral sciences, ＜strong＞Statistics with R: Solving Problems Using Real-World Data＜/strong＞ introduces foundational statistics concepts with beginner-friendly R programming in an exploration of the world’s tricky problems faced by the "R Team" characters. Inspired by the programming group "R Ladies," the R Team works together to master the skills of statistical analysis and data visualization to untangle real-world, messy data using R. The storylin...

    • The Art of Statistics How to Learn from Data【電子書籍】[ David Spiegelhalter ]

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  • ＜p＞＜strong＞In this "important and comprehensive" guide to statistical thinking (New Yorker), discover how data literacy is changing the world and gives you a better understanding of life’s biggest problems.＜/strong＞＜/p＞ ＜p＞Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence -- and even more so if we hope to participate in the future, rather than being simple bystanders.＜/p＞ ＜p＞In ＜em＞The Art of Statistics＜/em＞, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math. Drawing on real world examples to introduce complex issues, he shows us how statistics can help us determine the luckiest passenger on ...

    • The Data Detective Ten Easy Rules to Make Sense of Statistics【電子書籍】[ Tim Harford ]

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  • ＜p＞＜em＞＜em＞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＜/em＞.＜/em＞**＜/p＞ ＜p＞Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in ＜em＞The Data Detective＜/em＞. We shouldn’t be suspicious of statisticsー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ーunderstanding how our own preconceptions lead us astrayーstatistics can point to ways we can live better and work smarter.＜/p＞ ＜p＞As “perhaps the best popular economics writer in the world” (＜em＞New Statesman＜/em＞), Tim Harford is an expert at taking complicated ideas and untangling them for mill...

    • Big Data for Twenty-First-Century Economic Statistics【電子書籍】

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  • ＜p＞＜strong＞The papers in this volume analyze the deployment of Big Data to solve both existing and novel challenges in economic measurement.＜/strong＞＜/p＞ ＜p＞The existing infrastructure for the production of key economic statistics relies heavily on data collected through sample surveys and periodic censuses, together with administrative records generated in connection with tax administration. The increasing difficulty of obtaining survey and census responses threatens the viability of existing data collection approaches. The growing availability of new sources of Big Dataーsuch as scanner data on purchases, credit card transaction records, payroll information, and prices of various goods scraped from the websites of online sellersーhas changed the data landscape. These new sources of data hold the promise of allowing the statistical agencies to produce more accurate, more disaggregated, and more timely economic data to meet the needs of policymakers and other data users. T...

    • Naked Statistics: Stripping the Dread from the Data【電子書籍】[ Charles Wheelan ]

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  • ＜p＞The best-selling author of ＜em＞Naked Economics＜/em＞ defies the odds with a book about statistics that you’ll welcome and enjoy.＜/p＞ ＜p＞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 ＜em＞Naked Statistics＜/em＞, the right data and a few well-chosen statistical tools can help us answer these questions and more.＜/p＞ ＜p＞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 analysi...
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