Statistics Unlocking The Power Of Data Second Edition

Author : Robin H. Lock
Publisher : John Wiley & Sons
ISBN 13 : 1119682169
Total Pages : 866 pages
Book Rating : 4.65/5 ( download)

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Download or read book Statistics written by Robin H. Lock and published by John Wiley & Sons. This book was released on 2020-10-13 with total page 866 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics: Unlocking the Power of Data, 3rd Edition is designed for an introductory statistics course focusing on data analysis with real-world applications. Students use simulation methods to effectively collect, analyze, and interpret data to draw conclusions. Randomization and bootstrap interval methods introduce the fundamentals of statistical inference, bringing concepts to life through authentically relevant examples. More traditional methods like t-tests, chi-square tests, etc. are introduced after students have developed a strong intuitive understanding of inference through randomization methods. While any popular statistical software package may be used, the authors have created StatKey to perform simulations using data sets and examples from the text. A variety of videos, activities, and a modular chapter on probability are adaptable to many classroom formats and approaches.

Author : Lock
Publisher :
ISBN 13 : 9781119657187
Total Pages : 0 pages
Book Rating : 4.80/5 ( download)

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Download or read book Statistics: Unlocking the Power of Data, Second Edition written by Lock and published by . This book was released on 2020-01-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Peter Bruce
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491952911
Total Pages : 395 pages
Book Rating : 4.17/5 ( download)

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Download or read book Practical Statistics for Data Scientists written by Peter Bruce and published by "O'Reilly Media, Inc.". This book was released on 2017-05-10 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data

Author : Matthew Walker
Publisher : Simon and Schuster
ISBN 13 : 1501144316
Total Pages : 368 pages
Book Rating : 4.18/5 ( download)

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Download or read book Why We Sleep written by Matthew Walker and published by Simon and Schuster. This book was released on 2017-10-03 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Sleep is one of the most important but least understood aspects of our life, wellness, and longevity ... An explosion of scientific discoveries in the last twenty years has shed new light on this fundamental aspect of our lives. Now ... neuroscientist and sleep expert Matthew Walker gives us a new understanding of the vital importance of sleep and dreaming"--Amazon.com.

Author : Robin H. Lock
Publisher : Wiley Global Education
ISBN 13 : 1119163722
Total Pages : 590 pages
Book Rating : 4.25/5 ( download)

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Download or read book Statistics written by Robin H. Lock and published by Wiley Global Education. This book was released on 2016-12-01 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: With Wiley’s Enhanced E-Text, you get all the benefits of a downloadable, reflowable eBook with added resources to make your study time more effective, including: • Embedded & Searchable Tables & Figures • Links to Datasets through wiley.com • Video Solutions & Tutorials • Dataset Index embedded including links to datasets by page number Statistics: Unlocking the Power of Data, 2nd Edition continues to utilize these intuitive methods like randomization and bootstrap intervals to introduce the fundamental idea of statistical inference. These methods are brought to life through authentically relevant examples, enabled through easy to use statistical software, and are accessible at very early stages of a course. The program includes the more traditional methods like t-tests, chi-square texts, etc. but only after students have developed a strong intuitive understanding of inference through randomization methods. The focus throughout is on data analysis and the primary goal is to enable students to effectively collect data, analyze data, and interpret conclusions drawn from data. The program is driven by real data and real applications.

Author : Robin H. Lock
Publisher : Wiley
ISBN 13 : 9781119309512
Total Pages : pages
Book Rating : 4.14/5 ( download)

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Download or read book Statistics: Unlocking the Power of Data, Second Edition WileyPLUS with Loose-Leaf Print Companion with WileyPLUS LMS Card Set written by Robin H. Lock and published by Wiley. This book was released on 2016-11-14 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Robin H Lock
Publisher :
ISBN 13 : 9781119674160
Total Pages : pages
Book Rating : 4.66/5 ( download)

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Download or read book Statistics written by Robin H Lock and published by . This book was released on 2020-11 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book takes a unique approach of utilizing computer simulation methods to introduce students to the key ideas of statistical inference.Methods such as bootstrap intervals and randomization tests are very intuitive to novice students and capitalize on visual learning skills students bring to the classroom. With proper use of computer support, they are accessible at very early stages of a course with little formal background. Our text introduces statistical inference through these resampling and randomization methods, not only because these methods are becoming increasingly important for statisticians in their own right but also because they are outstanding in building students' conceptual understanding of the key ideas"--

Author : Michael J. Crawley
Publisher : John Wiley & Sons
ISBN 13 : 9780470022986
Total Pages : 348 pages
Book Rating : 4.81/5 ( download)

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Download or read book Statistics written by Michael J. Crawley and published by John Wiley & Sons. This book was released on 2005-05-06 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing. * Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology. * Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data. * The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing. * Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling. * Includes numerous worked examples and exercises within each chapter. * Accompanied by a website featuring worked examples, data sets, exercises and solutions: http://www.imperial.ac.uk/bio/research/crawley/statistics Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology - but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R.

Author : Robin H. Lock
Publisher :
ISBN 13 : 9781118440926
Total Pages : 814 pages
Book Rating : 4.27/5 ( download)

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Download or read book Statistics written by Robin H. Lock and published by . This book was released on 2012 with total page 814 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Steve McKillup
Publisher : Cambridge University Press
ISBN 13 : 1139502948
Total Pages : 430 pages
Book Rating : 4.48/5 ( download)

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Download or read book Statistics Explained written by Steve McKillup and published by Cambridge University Press. This book was released on 2011-11-03 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: An understanding of statistics and experimental design is essential for life science studies, but many students lack a mathematical background and some even dread taking an introductory statistics course. Using a refreshingly clear and encouraging reader-friendly approach, this book helps students understand how to choose, carry out, interpret and report the results of complex statistical analyses, critically evaluate the design of experiments and proceed to more advanced material. Taking a straightforward conceptual approach, it is specifically designed to foster understanding, demystify difficult concepts and encourage the unsure. Even complex topics are explained clearly, using a pictorial approach with a minimum of formulae and terminology. Examples of tests included throughout are kept simple by using small data sets. In addition, end-of-chapter exercises, new to this edition, allow self-testing. Handy diagnostic tables help students choose the right test for their work and remain a useful refresher tool for postgraduates.