Telling Time

Author: Jules Older
Publisher: Charlesbridge
ISBN: 1607342669
Format: PDF, ePub, Docs
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Time isn't an easy concept for kids to grasp, but young readers will delight in learning all about it with the fun and lively lessons in TELLING TIME. Exploring what time is and discovering why we need to tell time, young readers certainly learn more than 'the big hand is on the one and the little hand is on the two'. With the help of a whole lot of clocks, a dash of humor, and a few familiar circumstances, learning to tell time is a lot of fun. It's about time. With Megan Halsey's fresh, fun, and playful illustrations, telling time is a breeze. Imaginative digital and analog clocks adorn page after page with cuckoos, in the shape of boats, with alarm bells, and more. You won't want to miss a second of Telling Time.

Windows Rings and Grapes a Look at Different Shapes

Author: Brian P. Cleary
Publisher: Millbrook Press
ISBN: 1467742686
Format: PDF, Docs
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In this humorous look at shapes, Brian P. Cleary and Brian Gable introduce circles, ovals, triangles, squares, and rectangles. The comical cats of the wildly popular Words Are CATegorical® series explain how to identify each shape and provide loads of examples. Peppy rhymes, goofy illustrations, and kid-friendly examples make shaping up a snap!

Using R for Introductory Statistics Second Edition

Author: John Verzani
Publisher: CRC Press
ISBN: 1466590734
Format: PDF, ePub, Docs
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The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version. See What’s New in the Second Edition: Increased emphasis on more idiomatic R provides a grounding in the functionality of base R. Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible. Use of knitr package makes code easier to read and therefore easier to reason about. Additional information on computer-intensive approaches motivates the traditional approach. Updated examples and data make the information current and topical. The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text. The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.

An Introduction to Statistical Learning

Author: Gareth James
Publisher: Springer Science & Business Media
ISBN: 1461471389
Format: PDF, Docs
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An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

A Fraction s Goal Parts of a Whole

Author: Brian P. Cleary
Publisher: Millbrook Press
ISBN: 1467742457
Format: PDF, Mobi
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In this fun-filled look at fractions, Brian P. Cleary and Brian Gable demonstrate how fractions work by splitting whole objects into parts. The comical cats of the wildly popular Words Are CATegorical® series divide everything from pieces of pizza to groups of people into halves, thirds, tenths, and more. Peppy rhymes, goofy illustrations, and kid-friendly examples take the fear out of fractions.

Busy Bugs

Author: Jayne Harvey
Publisher: Penguin
ISBN: 1101641258
Format: PDF, ePub, Mobi
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The silly bugs are having a party. There is so much to do! The ants spend many busy hours making patterns with the flowers. They place the flowers two by two. First red, then blue. Then red, then blue. The simple rhyming text and the quirky and cute bug characters make learning about patterns easy and fun!

R For Dummies

Author: Andrie de Vries
Publisher: John Wiley & Sons
ISBN: 1119055830
Format: PDF, Docs
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Mastering R has never been easier Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies, 2nd Edition provides a quick and painless way to master all the R you'll ever need. Requiring no prior programming experience and packed with tons of practical examples, step-by-step exercises, and sample code, this friendly and accessible guide shows you how to know your way around lists, data frames, and other R data structures, while learning to interact with other programs, such as Microsoft Excel. You'll learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and so much more. R is an open source statistical environment and programming language that has become very popular in varied fields for the management and analysis of data. R provides a wide array of statistical and graphical techniques, and has become the standard among statisticians for software development and data analysis. R For Dummies, 2nd Edition takes the intimidation out of working with R and arms you with the knowledge and know-how to master the programming language of choice among statisticians and data analysts worldwide. Covers downloading, installing, and configuring R Includes tips for getting data in and out of R Offers advice on fitting regression models and ANOVA Provides helpful hints for working with graphics R For Dummies, 2nd Edition is an ideal introduction to R for complete beginners, as well as an excellent technical reference for experienced R programmers.

The Blood Sugar Solution

Author: Mark Hyman
Publisher: Little, Brown
ISBN: 031619221X
Format: PDF, Docs
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In THE BLOOD SUGAR SOLUTION, Dr. Mark Hyman reveals that the secret solution to losing weight and preventing not just diabetes but also heart disease, stroke, dementia, and cancer is balanced insulin levels. Dr. Hyman describes the seven keys to achieving wellness-nutrition, hormones, inflammation, digestion, detoxification, energy metabolism, and a calm mind-and explains his revolutionary six-week healthy-living program. With advice on diet, green living, supplements and medication, exercise, and personalizing the plan for optimal results, the book also teaches readers how to maintain lifelong health. Groundbreaking and timely, THE BLOOD SUGAR SOLUTION is the fastest way to lose weight, prevent disease, and feel better than ever.