Download or read book Standard Deviation written by Katherine Heiny and published by Vintage. This book was released on 2017-05-23 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: TheSkimm’s Best of Skimm Reads NPR’s Guide to Great Reads The Washington Post’s 50 Notable Works of Fiction of the Year Minnesota Public Radio’s The Best Books to Give and Get: Fiction Picks of the Year An uproarious novel ("Both heart-piercing and, crucially, very funny." —Louise Erdrich, The New York Times) from the celebrated author of Single, Carefree, Mellow about the challenges of a good marriage, the delight and heartache of raising children, and the irresistible temptation to wonder about the path not taken. When Graham Cavanaugh divorced his first wife it was to marry his girlfriend, Audra, a woman as irrepressible as she is spontaneous and fun. But, Graham learns, life with Audra can also be exhausting, constantly interrupted by chatty phone calls, picky-eater houseguests, and invitations to weddings of people he’s never met. Audra firmly believes that through the sheer force of her personality she can overcome the most socially challenging interactions, shepherding her son through awkward playdates and origami club, and even deciding to establish a friendship with Graham’s first wife, Elspeth. Graham isn't sure he understands why Audra longs to be friends with the woman he divorced. After all, former spouses are hard to categorize—are they enemies, old flames, or just people you know really, really well? And as Graham and Audra share dinners, holidays, and late glasses of wine with his first wife he starts to wonder: How can anyone love two such different women? Did I make the right choice? Is there a right choice? A hilarious and rueful debut novel of love, marriage, infidelity, and origami, Standard Deviation never deviates from the superb.
Download or read book Statistics For Dummies written by Deborah J. Rumsey and published by John Wiley & Sons. This book was released on 2016-06-07 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fun and easy way to get down to business with statistics Stymied by statistics? No fear? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life. Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more. Tracks to a typical first semester statistics course Updated examples resonate with today's students Explanations mirror teaching methods and classroom protocol Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance.
Download or read book Single Carefree Mellow written by Katherine Heiny and published by Vintage. This book was released on 2015-02-03 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: For the commitment-averse women in these eleven sublime laugh-out-loud stories, falling in love is never easy and always inconvenient. “Single, Carefree, Mellow is a lot like the women who populate it: smart and sexy and a little bit ruthless.” —Entertainment Weekly “Something like Cheever mixed with Ephron.” —The New York Times Book Review Maya is in love with both her boyfriend and her boss. Sadie’s lover calls her as he drives to meet his wife at marriage counseling. Nina is more worried that the Presbyterian minister living above her garage will hear her kids swearing than that he will find out she’s sleeping with her running partner. The women grapple with love amidst everything from unwelcome houseguests to disastrous birthday parties as Katherine Heiny spins a debut that is superbly accomplished and endlessly entertaining.
Download or read book Introductory Business Statistics hardcover Full Color written by Alexander Holmes and published by . This book was released on 2023-06-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Printed in color. Introductory Business Statistics is designed to meet the scope and sequence requirements of the one-semester statistics course for business, economics, and related majors. Core statistical concepts and skills have been augmented with practical business examples, scenarios, and exercises. The result is a meaningful understanding of the discipline, which will serve students in their business careers and real-world experiences.
Download or read book Standards Deviation written by James P. Spillane and published by Harvard University Press. This book was released on 2009-06-30 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: What happens to federal and state policies as they move from legislative chambers to individual districts, schools, and, ultimately, classrooms? Although policy implementation is generally seen as an administrative problem, James Spillane reminds us that it is also a psychological problem. After intensively studying several school districts' responses to new statewide science and math teaching policies in the early 1990s, Spillane argues that administrators and teachers are inclined to assimilate new policies into current practices. As new programs are communicated through administrative levels, the understanding of them becomes increasingly distorted, no matter how sincerely the new ideas are endorsed. Such patterns of well-intentioned misunderstanding highlight the need for systematic training and continuing support for the local administrators and teachers who are entrusted with carrying out large-scale educational change, classroom by classroom. Table of Contents: Acknowledgments 1. Making Education Policy Here, There, and Everywhere 2. Doing Standards: Content and Context 3. Interactive Policymaking 4. Making Policy, Making Sense 5. Resources for Sense-Making 6. The Schoolteacher and Interactive Policymaking 7. Policy in Practice 8. Implementation Reconsidered Appendix: Research Methods References Index Policy implementation is like the telephone game. . . . the player at the start of the line tells a story to the next person in line, who then relays the story to the third person in line. . . . by the time the story is retold by the final player, it is very different from the original. --chapter 1
Download or read book An Introduction to the Theory of Statistics written by George Udny Yule and published by . This book was released on 1919 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistical Evaluations in Exploration for Mineral Deposits written by Friedrich-Wilhelm Wellmer and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical evaluations of exploration data are the basis for decisions to be made at various stages of an exploration project. In contrast to other geostatistical books, Statistical Evaluations in Exploration for Mineral Deposits focuses not only on theory, but examples are also given, frequently originating from experience in mineral exploration by the author who worked worldwide for a mining company. Together with its companion volume, Economic Evaluations in Exploration, the book illustrates methods used in exploration campaigns and mining activities. It is intended as a vademecum for geologists who are forced to make quick decisions regarding an exploration project. It also addresses scientists and students involved in teaching or in mineral economic evaluations, recommendations or decisions.
Download or read book Getting Started with Haskell Data Analysis written by James Church and published by Packt Publishing Ltd. This book was released on 2018-10-31 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Put your Haskell skills to work and generate publication-ready visualizations in no time at all Key Features Take your data analysis skills to the next level using the power of Haskell Understand regression analysis, perform multivariate regression, and untangle different cluster varieties Create publication-ready visualizations of data Book Description Every business and organization that collects data is capable of tapping into its own data to gain insights how to improve. Haskell is a purely functional and lazy programming language, well-suited to handling large data analysis problems. This book will take you through the more difficult problems of data analysis in a hands-on manner. This book will help you get up-to-speed with the basics of data analysis and approaches in the Haskell language. You'll learn about statistical computing, file formats (CSV and SQLite3), descriptive statistics, charts, and progress to more advanced concepts such as understanding the importance of normal distribution. While mathematics is a big part of data analysis, we've tried to keep this course simple and approachable so that you can apply what you learn to the real world. By the end of this book, you will have a thorough understanding of data analysis, and the different ways of analyzing data. You will have a mastery of all the tools and techniques in Haskell for effective data analysis. What you will learn Learn to parse a CSV file and read data into the Haskell environment Create Haskell functions for common descriptive statistics functions Create an SQLite3 database using an existing CSV file Learn the versatility of SELECT queries for slicing data into smaller chunks Apply regular expressions in large-scale datasets using both CSV and SQLite3 files Create a Kernel Density Estimator visualization using normal distribution Who this book is for This book is intended for people who wish to expand their knowledge of statistics and data analysis via real-world examples. A basic understanding of the Haskell language is expected. If you are feeling brave, you can jump right into the functional programming style.
Download or read book International Encyclopedia of Statistical Science written by Miodrag Lovric and published by Springer Science & Business Media. This book was released on 2010-12-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this book is multidimensional: a) to help reviving Statistics education in many parts in the world where it is in crisis. For the first time authors from many developing countries have an opportunity to write together with the most prominent world authorities. The editor has spent several years searching for the most reputable statisticians all over the world. International contributors are either presidents of the local statistical societies, or head of the Statistics department at the main university, or the most distinguished statisticians in their countries. b) to enable any non-statistician to obtain quick and yet comprehensive and highly understandable view on certain statistical term, method or application c) to enable all the researchers, managers and practicioners to refresh their knowledge in Statistics, especially in certain controversial fields. d) to revive interest in statistics among students, since they will see its usefulness and relevance in almost all branches of Science.
Download or read book Introductory Statistics 2e hardcover Full Color written by Barbara Illowsky and published by . This book was released on 2023-12-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Book Publication Date: Dec 13, 2023. Full color. 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.
Download or read book Confidence Levels for the Sample Mean and Standard Deviation of a Rayleigh Process written by Leo M. Keane and published by . This book was released on 1964 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Machine Learning for Developers written by Rodolfo Bonnin and published by Packt Publishing Ltd. This book was released on 2017-10-26 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Your one-stop guide to becoming a Machine Learning expert. About This Book Learn to develop efficient and intelligent applications by leveraging the power of Machine Learning A highly practical guide explaining the concepts of problem solving in the easiest possible manner Implement Machine Learning in the most practical way Who This Book Is For This book will appeal to any developer who wants to know what Machine Learning is and is keen to use Machine Learning to make their day-to-day apps fast, high performing, and accurate. Any developer who wants to enter the field of Machine Learning can effectively use this book as an entry point. What You Will Learn Learn the math and mechanics of Machine Learning via a developer-friendly approach Get to grips with widely used Machine Learning algorithms/techniques and how to use them to solve real problems Get a feel for advanced concepts, using popular programming frameworks. Prepare yourself and other developers for working in the new ubiquitous field of Machine Learning Get an overview of the most well known and powerful tools, to solve computing problems using Machine Learning. Get an intuitive and down-to-earth introduction to current Machine Learning areas, and apply these concepts on interesting and cutting-edge problems. In Detail Most of us have heard about the term Machine Learning, but surprisingly the question frequently asked by developers across the globe is, “How do I get started in Machine Learning?”. One reason could be attributed to the vastness of the subject area because people often get overwhelmed by the abstractness of ML and terms such as regression, supervised learning, probability density function, and so on. This book is a systematic guide teaching you how to implement various Machine Learning techniques and their day-to-day application and development. You will start with the very basics of data and mathematical models in easy-to-follow language that you are familiar with; you will feel at home while implementing the examples. The book will introduce you to various libraries and frameworks used in the world of Machine Learning, and then, without wasting any time, you will get to the point and implement Regression, Clustering, classification, Neural networks, and more with fun examples. As you get to grips with the techniques, you'll learn to implement those concepts to solve real-world scenarios for ML applications such as image analysis, Natural Language processing, and anomaly detections of time series data. By the end of the book, you will have learned various ML techniques to develop more efficient and intelligent applications. Style and approach This book gives you a glimpse of Machine Learning Models and the application of models at scale using clustering, classification, regression and reinforcement learning with fun examples. Hands-on examples will be presented to understand the power of problem solving with Machine Learning and Advanced architectures, software installation, and configuration.
Download or read book Tables Describing Small sample Properties of the Mean Median Standard Deviation and Other Statistics in Sampling from Various Distributions written by Churchill Eisenhart and published by . This book was released on 1963 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Ruby Way written by Hal Fulton and published by Addison-Wesley Professional. This book was released on 2015-02-11 with total page 817 pages. Available in PDF, EPUB and Kindle. Book excerpt: For more than a decade, Ruby developers have turned to The Ruby Way for reliable “how-to” guidance on effective Ruby programming. Now, Hal Fulton and André Arko have thoroughly updated this classic guide to cover new language enhancements and developers’ experiences through Ruby 2.1. The new edition illuminates Ruby 2.1 through 400+ examples, each answering the question: “How do I do this in Ruby?” For each example, they present both a task description and realistic technical constraints. Next, they walk step-by-step through presenting one good solution, offering detailed explanations to promote deeper understanding. Conveniently organized by topic, The Ruby Way, Third Edition makes it easier than ever to find the specific solution you want—and to write better code by reflecting Ruby’s unique philosophy and spirit. Coverage includes Ruby 2.1 overview: terminology, philosophy, and basic principles Best practices for strings and regular expressions Efficiently internationalizing your code Performing calculations (including trigonometry, calculus, statistics, and time/date calculations) Working with “Rubyesque” objects such as symbols and ranges Using arrays, hashes, stacks, queues, trees, graphs, and other data structures Efficiently storing data with YAML, JSON, and SQLite3 Leveraging object-oriented and dynamic features, from multiple constructors to program inspection Building GUIs with Shoes 4, Ruby/Tk, Ruby/GTK3, QtRuby, and other toolkits Improving thread performance by understanding Ruby’s synchronization methods and avoiding its pitfalls Automating system administration with Ruby Data formats: JSON, XML, RSS, Atom, RMagick, PDF, and more Testing and debugging with RSpec, Minitest, Cucumber, byebug, and pry Measuring Ruby program performance Packaging and distributing code, and managing dependencies with Bundler Network programming: clients, time servers, POP, SMTP, IMAP, Open-URI Web applications: HTTP servers, Rails, Sinatra, HTML generation, and more Writing distributed Ruby software with drb Choosing modern development tools that maximize your productivity All source code for this book may be downloaded at www.rubyhacker.com. informit.com/aw informit.com/ruby rubyhacker.com/therubyway therubyway.io
Download or read book The Oxford Dictionary of Statistical Terms written by Yadolah Dodge and published by Oxford University Press, USA. This book was released on 2003 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the new-in-paperback edition of The Oxford Dictionary of Statistical Terms, the much-awaited sixth edition of the acclaimed standard reference work in statistics, published on behalf of the International Statistical Institute. The first edition, known as the Dictionary of Statistical Terms, was edited in 1957 by the late Sir Maurice Kendall and the late Dr W.R. Buckland. As one of the first dictionaries of statistics it set high standards for the subject, and became a well-respected reference. This edition has been carefully updated and extended to include the most recent terminology and techniques in statistics. Significant revision and expansion from an international editorial board of senior statisticians has resulted in a comprehenisive reference text which includes 30% more material than previous editions. Ideal for all who use statistics in the workplace and in research including all scientists and social scientists, especially in law, politics, finance, business, and history, it is an indispensable reference.
Download or read book Standard Deviations written by Gary Smith and published by Abrams. This book was released on 2014-07-31 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: How statistical data is used, misused, and abused every day to fool us: “A very entertaining book about a very serious problem.” —Robert J. Shiller, winner of the Nobel Prize in Economics and author of Irrational Exuberance Did you know that baseball players whose names begin with “D” are more likely to die young? That Asian Americans are most susceptible to heart attacks on the fourth day of the month? That drinking a full pot of coffee every morning adds years to your life, but one cup a day increases your pancreatic cancer risk? These “facts” have been argued with a straight face by credentialed researchers and backed up with reams of data and convincing statistics. As Nobel Prize–winning economist Ronald Coase cynically observed, “If you torture data long enough, it will confess.” Lying with statistics is a time-honored 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 indicators and total rubbish. Not only do others use data to fool us, we fool ourselves. Drawing on breakthrough research in behavioral economics and using clear examples, Standard Deviations demystifies the science behind statistics and makes it easy to spot the fraud all around us. “An entertaining primer . . . packed with figures, tables, graphs and ludicrous examples from people who know better (academics, scientists) and those who don’t (political candidates, advertisers).” —Kirkus Reviews (starred review)
Download or read book Scala and Spark for Big Data Analytics written by Md. Rezaul Karim and published by Packt Publishing Ltd. This book was released on 2017-07-25 with total page 786 pages. Available in PDF, EPUB and Kindle. Book excerpt: Harness the power of Scala to program Spark and analyze tonnes of data in the blink of an eye! About This Book Learn Scala's sophisticated type system that combines Functional Programming and object-oriented concepts Work on a wide array of applications, from simple batch jobs to stream processing and machine learning Explore the most common as well as some complex use-cases to perform large-scale data analysis with Spark Who This Book Is For Anyone who wishes to learn how to perform data analysis by harnessing the power of Spark will find this book extremely useful. No knowledge of Spark or Scala is assumed, although prior programming experience (especially with other JVM languages) will be useful to pick up concepts quicker. What You Will Learn Understand object-oriented & functional programming concepts of Scala In-depth understanding of Scala collection APIs Work with RDD and DataFrame to learn Spark's core abstractions Analysing structured and unstructured data using SparkSQL and GraphX Scalable and fault-tolerant streaming application development using Spark structured streaming Learn machine-learning best practices for classification, regression, dimensionality reduction, and recommendation system to build predictive models with widely used algorithms in Spark MLlib & ML Build clustering models to cluster a vast amount of data Understand tuning, debugging, and monitoring Spark applications Deploy Spark applications on real clusters in Standalone, Mesos, and YARN In Detail Scala has been observing wide adoption over the past few years, especially in the field of data science and analytics. Spark, built on Scala, has gained a lot of recognition and is being used widely in productions. Thus, if you want to leverage the power of Scala and Spark to make sense of big data, this book is for you. The first part introduces you to Scala, helping you understand the object-oriented and functional programming concepts needed for Spark application development. It then moves on to Spark to cover the basic abstractions using RDD and DataFrame. This will help you develop scalable and fault-tolerant streaming applications by analyzing structured and unstructured data using SparkSQL, GraphX, and Spark structured streaming. Finally, the book moves on to some advanced topics, such as monitoring, configuration, debugging, testing, and deployment. You will also learn how to develop Spark applications using SparkR and PySpark APIs, interactive data analytics using Zeppelin, and in-memory data processing with Alluxio. By the end of this book, you will have a thorough understanding of Spark, and you will be able to perform full-stack data analytics with a feel that no amount of data is too big. Style and approach Filled with practical examples and use cases, this book will hot only help you get up and running with Spark, but will also take you farther down the road to becoming a data scientist.
