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Graham Cavanaugh's second wife, Audra, is everything his first wife was not. She considers herself privileged to live in the age of the hair towel; talks non-stop through her epidural, labour and delivery; invites the doorman to move in, and the eccentric members of their son's Origami Club to Thanksgiving. She is charming and spontaneous and fun, but life with her can be exhausting. In the midst of the day-to-day difficulties and delights of marriage and raising a child with Asperger's, Graham's first wife, Elspeth, reenters his life. Former spouses are hard to categorize - are they friends, enemies, old flames, or just people who know you really, really well? Graham starts to wonder: how can anyone love two such different women? Did he make the right choice? Is there a right choice?
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
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.
The wonderful story collection from the author of Standard Deviation ‘Heiny's work does something magical: gives women's interior lives the gravity they so richly deserve and makes you laugh along the way’ Lena Dunham ‘Like Cheever mixed with Ephron’ New York Times ‘Simply wonderful, I savoured every page’ Guardian
Monthly Mean 100-, 50-, 30-, and 10-millibar Charts and Standard Deviation Maps, 1966-1967 by United States. Environmental Sciences Services Administration Pdf
A Verification of the Use of the Effective Vertically Integrated Standard Deviation of the Wind in Estimating Dispersion of Vertically Rising Balloons by George F. Nolan Pdf
Monthly dispersion patterns of vertically rising balloons for various probability levels are computed for the altitude of 90,000 ft by using the effective vertically integrated standard deviation of the wind. These are representative of conditions at the Holloman AFB - White Sands Missile Range complex. The use of this procedure to obtain a reliable measure of dispersion is verified by testing with individually computed ascent trajectories. The importance of considering interlevel correlation coefficients in estimating dispersion is emphasized by the results of this study. The resulting dispersion patterns afford a means of increasing balloon operational efficiency and effectiveness for the cited area by defining the best locations for target flight launchings, and by giving the probable dispersions for flights launched from a fixed site. The findings of this study can also be of assistance in planning balloon operations at other midlatitude locations. (Author).
Tables Describing Small-sample Properties of the Mean, Median, Standard Deviation, and Other Statistics in Sampling from Various Distributions by Churchill Eisenhart,Lola S. Deming,Celia S. Martin Pdf
Introductory Business Statistics (hardcover, Full Color) by Alexander Holmes,Susan Dean,Barbara Illowsky Pdf
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.
Help your students see the light. With its myriad of techniques, concepts and formulas, business statistics can be overwhelming for many students. They can have trouble recognizing the importance of studying statistics, and making connections between concepts. Ken Black's fifth edition of Business Statistics: For Contemporary Decision Making helps students see the big picture of the business statistics course by giving clearer paths to learn and choose the right techniques. Here's how Ken Black helps students see the big picture: Video Tutorials-In these video clips, Ken Black provides students with extra learning assistance on key difficult topics. Available in WileyPLUS. Tree Taxonomy Diagram-Tree Taxonomy Diagram for Unit 3 further illustrates the connection between topics and helps students pick the correct technique to use to solve problems. New Organization-The Fifth Edition is reorganized into four units, which will help professor teach and students see the connection between topics. WileyPLUS-WilePLUS provides everything needed to create an environment where students can reach their full potential and experience the exhilaration of academic success. In addition to a complete online text, online homework, and instant feedback, WileyPLUS offers additional Practice Problems that give students the opportunity to apply their knowledge, and Decision Dilemma Interactive Cases that provide real-world decision-making scenarios. Learn more at www.wiley.co,/college/wileyplus.
International Encyclopedia of Statistical Science by Miodrag Lovric Pdf
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.
Statistical Evaluations in Exploration for Mineral Deposits by Friedrich-Wilhelm Wellmer Pdf
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.
Getting Started with Haskell Data Analysis by James Church Pdf
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.
Machine Learning for Developers by Rodolfo Bonnin Pdf
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.
Equity Valuation, Risk, and Investment by Peter C. Stimes Pdf
Author Peter Stimes’s analysis of the investment process has long been inspired by some of the best minds in the world of finance, yet some of the ways in which he approaches this discipline are truly unique. In Equity Valuation, Risk, and Investment, Stimes shares his extensive expertise with you and reveals how practitioners can integrate and apply both the theory and quantitative analysis found in finance to the day-to-day decisions they must make with regard to important investment issues.