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Come along with Garfield and explore breakthroughs in science, from the very beginning of astronomy--when people believed Earth was the center of the universe--to modern times and into the future, when scientists might create an invisibility cloak. All along, Garfield adds his own hilarious comments on each breakthrough. Join in to laugh and learn!
Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone, Second Edition, is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you’ll need to accomplish 80 percent of modern data tasks. Lander’s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You’ll download and install R; navigate and use the R environment; master basic program control, data import, manipulation, and visualization; and walk through several essential tests. Then, building on this foundation, you’ll construct several complete models, both linear and nonlinear, and use some data mining techniques. After all this you’ll make your code reproducible with LaTeX, RMarkdown, and Shiny. By the time you’re done, you won’t just know how to write R programs, you’ll be ready to tackle the statistical problems you care about most. Coverage includes Explore R, RStudio, and R packages Use R for math: variable types, vectors, calling functions, and more Exploit data structures, including data.frames, matrices, and lists Read many different types of data Create attractive, intuitive statistical graphics Write user-defined functions Control program flow with if, ifelse, and complex checks Improve program efficiency with group manipulations Combine and reshape multiple datasets Manipulate strings using R’s facilities and regular expressions Create normal, binomial, and Poisson probability distributions Build linear, generalized linear, and nonlinear models Program basic statistics: mean, standard deviation, and t-tests Train machine learning models Assess the quality of models and variable selection Prevent overfitting and perform variable selection, using the Elastic Net and Bayesian methods Analyze univariate and multivariate time series data Group data via K-means and hierarchical clustering Prepare reports, slideshows, and web pages with knitr Display interactive data with RMarkdown and htmlwidgets Implement dashboards with Shiny Build reusable R packages with devtools and Rcpp Register your product at informit.com/register for convenient access to downloads, updates, and corrections as they become available.
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.
Black & white print. Principles of Management is designed to meet the scope and sequence requirements of the introductory course on management. This is a traditional approach to management using the leading, planning, organizing, and controlling approach. Management is a broad business discipline, and the Principles of Management course covers many management areas such as human resource management and strategic management, as well as behavioral areas such as motivation. No one individual can be an expert in all areas of management, so an additional benefit of this text is that specialists in a variety of areas have authored individual chapters.
Results from national and international assessments indicate that school children in the United States are not learning mathematics well enough. Many students cannot correctly apply computational algorithms to solve problems. Their understanding and use of decimals and fractions are especially weak. Indeed, helping all children succeed in mathematics is an imperative national goal. However, for our youth to succeed, we need to change how we're teaching this discipline. Helping Children Learn Mathematics provides comprehensive and reliable information that will guide efforts to improve school mathematics from pre-kindergarten through eighth grade. The authors explain the five strands of mathematical proficiency and discuss the major changes that need to be made in mathematics instruction, instructional materials, assessments, teacher education, and the broader educational system and answers some of the frequently asked questions when it comes to mathematics instruction. The book concludes by providing recommended actions for parents and caregivers, teachers, administrators, and policy makers, stressing the importance that everyone work together to ensure a mathematically literate society.
This book develops the mathematical tools essential for students in the life sciences to describe interacting systems and predict their behavior. From predator-prey populations in an ecosystem, to hormone regulation within the body, the natural world abounds in dynamical systems that affect us profoundly. Complex feedback relations and counter-intuitive responses are common in nature; this book develops the quantitative skills needed to explore these interactions. Differential equations are the natural mathematical tool for quantifying change, and are the driving force throughout this book. The use of Euler’s method makes nonlinear examples tractable and accessible to a broad spectrum of early-stage undergraduates, thus providing a practical alternative to the procedural approach of a traditional Calculus curriculum. Tools are developed within numerous, relevant examples, with an emphasis on the construction, evaluation, and interpretation of mathematical models throughout. Encountering these concepts in context, students learn not only quantitative techniques, but how to bridge between biological and mathematical ways of thinking. Examples range broadly, exploring the dynamics of neurons and the immune system, through to population dynamics and the Google PageRank algorithm. Each scenario relies only on an interest in the natural world; no biological expertise is assumed of student or instructor. Building on a single prerequisite of Precalculus, the book suits a two-quarter sequence for first or second year undergraduates, and meets the mathematical requirements of medical school entry. The later material provides opportunities for more advanced students in both mathematics and life sciences to revisit theoretical knowledge in a rich, real-world framework. In all cases, the focus is clear: how does the math help us understand the science?
Selma Blair has played many roles: Ingenue in Cruel Intentions. Preppy ice queen in Legally Blonde. Muse to Karl Lagerfeld. Advocate for the multiple sclerosis community. But before all of that, Selma was known best as … a mean baby. In a memoir that is as wildly funny as it is emotionally shattering, Blair tells the captivating story of growing up and finding her truth. "Blair is a rebel, an artist, and it turns out: a writer."—Glennon Doyle, Author of the #1 New York Times Bestseller Untamed and Founder of Together Rising The first story Selma Blair Beitner ever heard about herself is that she was a mean, mean baby. With her mouth pulled in a perpetual snarl and a head so furry it had to be rubbed to make way for her forehead, Selma spent years living up to her terrible reputation: biting her sisters, lying spontaneously, getting drunk from Passover wine at the age of seven, and behaving dramatically so that she would be the center of attention. Although Selma went on to become a celebrated Hollywood actress and model, she could never quite shake the periods of darkness that overtook her, the certainty that there was a great mystery at the heart of her life. She often felt like her arms might be on fire, a sensation not unlike electric shocks, and she secretly drank to escape. Over the course of this beautiful and, at times, devasting memoir, Selma lays bare her addiction to alcohol, her devotion to her brilliant and complicated mother, and the moments she flirted with death. There is brutal violence, passionate love, true friendship, the gift of motherhood, and, finally, the surprising salvation of a multiple sclerosis diagnosis. In a voice that is powerfully original, fiercely intelligent, and full of hard-won wisdom, Selma Blair’s Mean Baby is a deeply human memoir and a true literary achievement.
Garfield's back in this brand-new compilation comic strip book—truly a must-have for fans! What’s the menu du jour? Food, fun . . . and lots of it! Whether it’s a mouse bathing in coffee, or a zombie bingeing on brains, laughter is the order of the day. Garfield fans will get a full serving of smiles, with a side dish of silliness, in this brand-new collection of crazy comics!
Are you a witless cretin with no reason to live? Would you like to know more about every piece of knowledge ever? Do you have cash? Then congratulations, because just in time for the death of the print industry as we know it comes the final book ever published, and the only one you will ever need: The Onion's compendium of all things known. Replete with an astonishing assemblage of facts, illustrations, maps, charts, threats, blood, and additional fees to edify even the most simple-minded book-buyer, The Onion Book of Known Knowledge is packed with valuable information -- such as the life stages of an Aunt; places to kill one's self in Utica, New York; and the dimensions of a female bucket, or "pail." With hundreds of entries for all 27 letters of the alphabet, The Onion Book of Known Knowledge must be purchased immediately to avoid the sting of eternal ignorance.