Following the successful, 'The Humongous Books', in calculus and algebra, bestselling author Mike Kelley takes a typical statistics workbook, full of solved problems, and writes notes in the margins, adding missing steps and simplifying concepts and solutions. By learning how to interpret and solve problems as they are presented in statistics courses, students prepare to solve those difficult problems that were never discussed in class but are always on exams. - With annotated notes and explanations of missing steps throughout, like no other statistics workbook on the market - An award-winning former math teacher whose website (calculus-help.com) reaches thousands every month, providing exposure for all his books

Software Testing as a Service explains, in simple language, how to use software testing to improve productivity, reduce time to market, and reduce costly errors. It explains how the normal functions of manufacturing can be applied to commoditize the software testing service to achieve consistent quality across all software projects. This up-to-date reference reviews different software testing tools, techniques, and practices and provides succinct guidance on how to estimate costs, allocate resources, and make competitive bids. Replete with examples and case histories, this resource illustrates how proper planning can lead to the creation of software that's head and shoulders above the competition.

Statistics for Health Care Professionals: Working with Excel (second edition) is written in a clear, easily followed style keyed to the powerful statistical tool, Microsoft Excel 2007. It introduces the use of statistics applicable to health administration, health policy, public health, health information management, and other professions, emphasizing the logic of probability and statistical analysis in all areas. Coverage includes data acquisition, data display, basics of probability, data distributions, confidence limits and hypothesis testing, statistical tests for categorical data, tests for related and unrelated data, analysis of variance, simple linear regression, multiple regression, and analysis with a dichotomous categorical dependent variable. A glossary and section-by-section review questions round out this uniquely comprehensive and accessible text.

Haven't women gotten everything they want? Economic power? Social influence? Business clout? Yes, but it turns out that these fantastic gains have come at a heavy price, as consumer goods experts Michael J. Silverstein and Kate Sayre discovered in an unprecedented study of 12,000 women in forty countries. That relentless upward climb has left women feeling stressed out, time starved, and overburdened. As a result, they look to products and services that will help them claw back time, juggle multiple roles, and capture a few moments of enjoyment. Women want more—much more, in every category of goods and services. And no matter what their age or economic situation or where they live in the world, women will spend trillions of dollars over the next decade on the brands that truly deliver: Home-cleaning products that enable women to do in an hour what used to take a day Financial-services products that recognize that women control half the United States' wealth Food products that help keep the whole family happy and healthy Health care services designed for working-women's hectic schedules In the coming years, women's influence will be so enormous that it will not only help bring us out of the economic downturn but also create one of the most dramatic market opportunities of our lifetime—bigger than the rise of China and India; more sustainable than any bailout package. Through quantitative data, profiles of individual women, and stories of winning companies, Women Want More provides business leaders with the understanding and practices they need to capture their share of the rising "female economy."

Mathematical problems such as graph theory problems are of increasing importance for the analysis of modelling data in biomedical research such as in systems biology, neuronal network modelling etc. This book follows a new approach of including graph theory from a mathematical perspective with specific applications of graph theory in biomedical and computational sciences. The book is written by renowned experts in the field and offers valuable background information for a wide audience.

Even You Can Learn Statistics: A Guide for Everyone Who Has Ever Been Afraid of Statistics is a practical, up-to-date introduction to statistics—for everyone! Thought you couldn’t learn statistics? You can—and you will! One easy step at a time, this fully updated book teaches you all the statistical techniques you’ll need for finance, quality, marketing, the social sciences, or anything else! Simple jargon-free explanations help you understand every technique. Practical examples and worked-out problems give you hands-on practice. Special sections present detailed instructions for developing statistical answers, using spreadsheet programs or any TI-83/TI-84 compatible calculator. This edition delivers new examples, more detailed problems and sample solutions, plus an all-new chapter on powerful multiple regression techniques. Hate math? No sweat. You’ll be amazed at how little you need. Like math? Optional “Equation Blackboard” sections reveal the mathematical foundations of statistics right before your eyes! You’ll learn how to: Construct and interpret statistical charts and tables with Excel or OpenOffice.org Calc 3 Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics Use probability and probability distributions Work with sampling distributions and confidence intervals Test hypotheses with Z, t, chi-square, ANOVA, and other techniques Perform powerful regression analysis and modeling Use multiple regression to develop models that contain several independent variables Master specific statistical techniques for quality and Six Sigma programs About the Web Site Download practice files, templates, data sets, and sample spreadsheet models—including ready-to-use solutions for your own work! http://www.informit.com/title/9780137010592

Gnuplot in Action is the first comprehensive introduction to gnuplot—from the basics to the power features and beyond. Besides providing a tutorial on gnuplot itself, it demonstrates how to apply and use gnuplot to extract intelligence from data. Particular attention is paid to tricky or poorly-explained areas. You will learn how to apply gnuplot to actual data analysis problems. This book looks at different types of graphs that can be generated with gnuplot and will discuss when and how to use them to extract actual information from data. About the Technology Statistical data is only as valuable as your ability to analyze, interpret, and present it in a meaningful way. Gnuplot is the most widely used program to plot and visualize data for Unix/Linux systems and it is also popular for Windows and the Mac. It's open-source (as in free!), actively maintained, stable, and mature. It can deal with arbitrarily large data sets and is capable of producing high-quality, publication-ready graphics. So far, the only comprehensive documentation available about gnuplot is the online reference documentation, which makes it both hard to get started and almost impossible to get a complete overview over all of its features. If you've never tried gnuplot—or have found it tough to get your arms around—read on. About the Book One of gnuplot's main advantages is that it requires no programming skills nor knowledge of advanced mathematical or statistical concepts. Gnuplot in Action assumes you have no previous knowledge of either gnuplot or statistics and data analysis. The books starts out with basic gnuplot concepts, then describes in depth how to get a graph ready for final presentation and to make it look "just right" by including arrows, labels, and other decorations. Next the book looks at advanced concepts, such as multi-dimensional graphs and false-color plots—powerful features for special purposes. The author also describes advanced applications of gnuplot, such as how to script gnuplot so that it can run unattended as a batch job, and how to call gnuplot from within a CGI script to generate graphics for dynamic websites on demand. What's Inside Creating graphs with gnuplot Data transformations and filters Preparing/polishing graphs for final presentation Publishing graphs in print or on the Web Using gnuplot's power features Gnuplot scripting and programming Types of graphs and when to use them Techniques of graphical analysis How to build, install, and develop for gnuplot Command and Option reference organized by concept About the Reader Gnuplot in Action makes gnuplot easy for anyone who needs to do data analysis, but doesn't have an education in analytical tools and methods. It's perfect for DBAs, programmers, and performance engineers; business analysts and MBAs; and Six-Sigma Black Belts and process engineers. About the Author Philipp K. Janert is Chief Consultant at Principal Value, LLC. He has been a gnuplot user for more than 15 years and regards it as one of the indispensable tools in his toolbox. He has worked for small start-ups and in large corporate environments, both in the US and overseas, including several years at Amazon.com, where he initiated and led several projects to improve Amazon's order fulfillment processes. Philipp K. Janert has written about software and software development for the O'Reilly Network, IBM developerWorks, IEEE Software, and Linux Magazine. He holds a Ph.D. in Theoretical Physics from the University of Washington. Visit his website at www.principal-value.com. Quotes Knee-deep in data? This is your guidebook to exploring it with gnuplot. - Austin King, Mozilla Sparkles with insight about visualization, image perception, and data exploration. - Richard B. Kreckel, GiNaC.de Incredibly useful for beginners - indispensable for advanced users. - Mark Pruett, Systems Architect Dominion Bridges the gap between gnupolt's reference manual and real-world problems. - Mitchell Johnson, Border Stylo A Swiss Army knife for plotting data. - Nishanth Sastry, Computer Laboratory, University of Cambridge/IBM

Today, interpreting data is a critical decision-making factor for businesses and organizations. If your job requires you to manage and analyze all kinds of data, turn to Head First Data Analysis, where you'll quickly learn how to collect and organize data, sort the distractions from the truth, find meaningful patterns, draw conclusions, predict the future, and present your findings to others. Whether you're a product developer researching the market viability of a new product or service, a marketing manager gauging or predicting the effectiveness of a campaign, a salesperson who needs data to support product presentations, or a lone entrepreneur responsible for all of these data-intensive functions and more, the unique approach in Head First Data Analysis is by far the most efficient way to learn what you need to know to convert raw data into a vital business tool. You'll learn how to: Determine which data sources to use for collecting information Assess data quality and distinguish signal from noise Build basic data models to illuminate patterns, and assimilate new information into the models Cope with ambiguous information Design experiments to test hypotheses and draw conclusions Use segmentation to organize your data within discrete market groups Visualize data distributions to reveal new relationships and persuade others Predict the future with sampling and probability models Clean your data to make it useful Communicate the results of your analysis to your audience Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First Data Analysis uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.

Business Statistics offers readers a foundation in core statistical concepts using a perfect blend of theory and practical application. This book presents business statistics as value added tools in the process of converting data into useful information. The step-by-step approach used to discuss three main statistical software applications, MS Excel, Minitab, and SPSS, which are critical tools for decision making in the business world, makes this book extremely user friendly. This book is highly relevant for students and practising managers.

You too can understand the statistics of life, even if you're math-challenged! What do you need to calculate? Manufacturing output? A curve for test scores? Sports stats? You and Excel can do it, and this non-intimidating guide shows you how. It demystifies the different types of statistics, how Excel functions and formulas work, the meaning of means and medians, how to interpret your figures, and more — in plain English. Getting there — learn how variables, samples, and probability are used to get the information you want Excel tricks — find out what's built into the program to help you work with Excel formulas Playing with worksheets — get acquainted with the worksheet functions for each step Graphic displays — present your data as pie graphs, bar graphs, line graphs, or scatter plots What's normal? — understand normal distribution and probability Hyping hypotheses — learn to use hypothesis testing with means and variables When regression is progress — discover when and how to use regression for forecasting What are the odds — work with probability, random variables, and binomial distribution Open the book and find: Ten statistical and graphical tips and traps The difference between descriptive and inferential statistics Why graphs are good How to measure variations What standard scores are and why they're used When to use two-sample hypothesis testing How to use correlations Different ways of working with probability

Pro SQL Server 2008 Analytics provides everything you need to know to develop sophisticated and visually appealing sales and marketing dashboards using SQL Server 2008 and to integrate those dashboards with SharePoint, PerformancePoint, and other key Microsoft technologies.

The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions. Written "By Practitioners for Practitioners" Non-technical explanations build understanding without jargon and equations Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models Practical advice from successful real-world implementations Includes extensive case studies, examples, MS PowerPoint slides and datasets CD-DVD with valuable fully-working 90-day software included: "Complete Data Miner - QC-Miner - Text Miner" bound with book

A budget is a financial action plan for an organization. This guide will teach you how to: - Forecast future business results, such as sales volume, revenues, and expenses - Reconcile those forecasts to organizational goals - Obtain organizational support for your proposed budget - Fine-tune your budget over time

Written by leading market risk academic, Professor Carol Alexander, Value-at-Risk Models forms part four of the Market Risk Analysis four volume set. Building on the three previous volumes this book provides by far the most comprehensive, rigorous and detailed treatment of market VaR models. It rests on the basic knowledge of financial mathematics and statistics gained from Volume I, of factor models, principal component analysis, statistical models of volatility and correlation and copulas from Volume II and, from Volume III, knowledge of pricing and hedging financial instruments and of mapping portfolios of similar instruments to risk factors. A unifying characteristic of the series is the pedagogical approach to practical examples that are relevant to market risk analysis in practice. All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the the accompanying CD-ROM . Empirical examples and case studies specific to this volume include: Parametric linear value at risk (VaR)models: normal, Student t and normal mixture and their expected tail loss (ETL); New formulae for VaR based on autocorrelated returns; Historical simulation VaR models: how to scale historical VaR and volatility adjusted historical VaR; Monte Carlo simulation VaR models based on multivariate normal and Student t distributions, and based on copulas; Examples and case studies of numerous applications to interest rate sensitive, equity, commodity and international portfolios; Decomposition of systematic VaR of large portfolios into standard alone and marginal VaR components; Backtesting and the assessment of risk model risk; Hypothetical factor push and historical stress tests, and stress testing based on VaR and ETL. "The ebook version does not provide access to the companion files".

In this Wrox Blox, you'll learn how to create powerful Dashboards for Windows SharePoint Services 3.0. First, we introduce Web Part Pages and some of the out-of-the box Web Parts available in WSS. We then look at how to use Web Part Connections to add interactivity to our Dashboards. Later we create advanced Dashboard Views using the Data Form Web Part available with SharePoint Designer 2007. While the author focuses on Windows SharePoint Services, all of the topics discussed also apply to Microsoft Office SharePoint Server 2007 as it is a superset of WSS. This Wrox Blox will be valuable for anyone wishing to share data on their SharePoint site.

Using a range of examples, this introduction illustrates how R can be employed to tackle statistical problems. It covers one-sample analysis and distribution diagnostics, regression, two-sample problems and comparison of distributions, and multivariate analysis.

Based around eleven international real life case studies and including contributions from leading experts in the field this groundbreaking book explores the need for the grid-enabling of data mining applications and provides a comprehensive study of the technology, techniques and management skills necessary to create them. This book provides a simultaneous design blueprint, user guide, and research agenda for current and future developments and will appeal to a broad audience; from developers and users of data mining and grid technology, to advanced undergraduate and postgraduate students interested in this field.

THE DEFINITIVE, COMPREHENSIVE, OFFICIAL GUIDE TO XCELSIUS 2008 DASHBOARDS Using Xcelsius, you can create powerful, interactive dashboards, gather data from spreadsheets or databases, and deliver knowledge that can be instantly understood and acted upon. Now there’s a definitive, authoritative guide to making the most of Xcelsius 2008, the newest version of this breakthrough product. Loren Abdulezer, editor-in-chief of Xcelsius Journal, shares insider’s knowledge that goes far beyond any other book or online help resource. Abdulezer introduces Xcelsius 2008, reviews its core concepts, and demonstrates the wide range of dashboards it can create. After you know what’s possible, you’ll go deep inside Xcelsius, gaining hands-on experience with every feature you need to master. You’ll learn how to quickly represent any data with charting components; use dials, gauges, and speedometers; incorporate multiple layers in your dashboards and visualizations; use Xcelsius to perform more useful analyses and manage more interactively; work with maps, demographics, and segmented data; create “smart data” and alerts; and much more. Abdulezer offers tips and tricks you won’t find anywhere else. You’ll learn how to work with data that isn’t rock-solid--and even how to create your own custom components that go beyond Xcelsius’s built-in features. Whether you’re a business intelligence or database professional, power user, developer, or consultant, this book will help you create superior Xcelsius dashboards--and make better decisions. THE ONLY XCELSIUS 2008 DASHBOARDING BOOK YOU NEED Use Xcelsius 2008 to get better answers, identify emerging trends and opportunities, and manage more effectively Learn hands-on, through step-by-step examples using real business data Discover tips and tricks proven in real-world environments Deliver dashboard content in whatever format works best: as HTML pages, PowerPoint presentations, PDF files, or Word documents Fully leverage the information in your Excel spreadsheets--and go beyond Excel to use XML source data, too Implement Xcelsius best practices drawn from the hard-won knowledge of the entire global user community ON THE WEB Registered owners of the book can find all this and more online: All sample files used in the book Additional guides and tutorials to help you build dashboards Templates and example files for new dashboard interfaces Introduction 1 Part I Xcelsius 2008 Fundamentals 1 Motivation for Using Xcelsius 2008 11 2 Showcase of Xcelsius 2008 Dashboards 33 3 Getting Familiar with Xcelsius 2008 43 4 Embedded Spreadsheets: The Secret Sauce of Xcelsius 2008 69 5 Using Charts and Graphs to Represent Data 127 6 Single Value Components: Dials, Gauges, Speedometers, and the Like 157 Part II Xcelsius 2008 Best Practices and Techniques 7 Using Multi-Layer Visibility in Your Dashboards and Visualizations 181 8 Managing Interactivity 203 9 Xcelsius and Statistics 229 10 Financial Analysis 257 11 Maps in Xcelsius 275 12 Smart Data and Alerts 297 13 Working with Less-Than-Optimal Data 315 14 Other Dashboard Techniques and Practices 337 Part III Advanced Features 15 XML and Data Connectivity 353 16 Creating Custom Components for Fun and Profit 371 Part IV Appendices A Supported Spreadsheet Functions in Xcelsius 2008 401 B Xcelsius Product Family Comparison 415 C Xcelsius Best Practice Techniques and Hip Pocket Tips 425 Index 431

Think you can't have fun learning statistics? Think again. The Manga Guide to Statistics will teach you everything you need to know about this essential discipline, while entertaining you at the same time. With its unique combination of Japanese-style comics called manga and serious educational content, the EduManga format is already a hit in Japan. In The Manga Guide to Statistics, our heroine Rui is determined to learn about statistics to impress the dreamy Mr. Igarashi and begs her father for a tutor. Soon she's spending her Saturdays with geeky, bespectacled Mr. Yamamoto, who patiently teaches her all about the fundamentals of statistics: topics like data categorization, averages, graphing, and standard deviation. After all her studying, Rui is confident in her knowledge of statistics, including complex concepts like probability, coefficients of correlation, hypothesis tests, and tests of independence. But is it enough to impress her dream guy? Or maybe there's someone better, right in front of her? Reluctant statistics students of all ages will enjoy learning along with Rui in this charming, easy-to-read guide, which uses real-world examples like teen magazine quizzes, bowling games, test scores, and ramen noodle prices. Examples, exercises, and answer keys help you follow along and check your work. An appendix showing how to perform statistics calculations in Microsoft Excel makes it easy to put Rui's lessons into practice. This EduManga book is a translation from a bestselling series in Japan, co-published with Ohmsha, Ltd. of Tokyo, Japan.

Presenting a nonmathematical approach to this topic, Statistics for Environmental Science and Management introduces frequently used statistical methods and practical applications for the environmental field.