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Beyond Basic Statistics

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Beyond Basic Statistics

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Author : Kristin H. Jarman
language : en
Publisher: John Wiley & Sons
Release Date : 2015-04-22

Beyond Basic Statistics written by Kristin H. Jarman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-22 with Mathematics categories.

Features basic statistical concepts as a tool for thinking critically, wading through large quantities of information, and answering practical, everyday questions Written in an engaging and inviting manner, Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know presents the more subjective side of statistics—the art of data analytics. Each chapter explores a different question using fun, common sense examples that illustrate the concepts, methods, and applications of statistical techniques. Without going into the specifics of theorems, propositions, or formulas, the book effectively demonstrates statistics as a useful problem-solving tool. In addition, the author demonstrates how statistics is a tool for thinking critically, wading through large volumes of information, and answering life’s important questions. Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know also features: Plentiful examples throughout aimed to strengthen readers’ understanding of the statistical concepts and methods A step-by-step approach to elementary statistical topics such as sampling, hypothesis tests, outlier detection, normality tests, robust statistics, and multiple regression A case study in each chapter that illustrates the use of the presented techniques Highlights of well-known shortcomings that can lead to false conclusions An introduction to advanced techniques such as validation and bootstrapping Featuring examples that are engaging and non-application specific, the book appeals to a broad audience of students and professionals alike, specifically students of undergraduate statistics, managers, medical professionals, and anyone who has to make decisions based on raw data or compiled results.

Beyond Basic Statistics

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Author : Kristin H. Jarman
language : en
Publisher: John Wiley & Sons
Release Date : 2015-04-22

Basic Statistics

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Author : Rand R. Wilcox
language : en
Publisher: Oxford University Press
Release Date : 2009-07-15

Basic Statistics written by Rand R. Wilcox and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-15 with Mathematics categories.

This introductory statistics textbook for non-statisticians covers basic principles, concepts, and methods routinely used in applied research. What sets this text apart is the incorporation of the many advances and insights from the last half century when explaining basic principles. These advances provide a foundation for vastly improving our ability to detect and describe differences among groups and associations among variables and provide a deeper and more accurate sense of when basic methods perform well and when they fail. Assuming no prior training, Wilcox introduces students to basic principles and concepts in a simple manner that makes these advances and insights, as well as standard ideas and methods, easy to understand and appreciate.

Statistical Methods For Physical Science

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Author :
language : en
Publisher: Academic Press
Release Date : 1994-12-13

Statistical Methods For Physical Science written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-12-13 with Science categories.

This volume of Methods of Experimental Physics provides an extensive introduction to probability and statistics in many areas of the physical sciences, with an emphasis on the emerging area of spatial statistics. The scope of topics covered is wide-ranging-the text discusses a variety of the most commonly used classical methods and addresses newer methods that are applicable or potentially important. The chapter authors motivate readers with their insightful discussions. - Examines basic probability, including coverage of standard distributions, time series models, and Monte Carlo methods - Describes statistical methods, including basic inference, goodness of fit, maximum likelihood, and least squares - Addresses time series analysis, including filtering and spectral analysis - Includes simulations of physical experiments - Features applications of statistics to atmospheric physics and radio astronomy - Covers the increasingly important area of modern statistical computing

Using The R Commander

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Author : John Fox
language : en
Publisher: CRC Press
Release Date : 2016-09-15

Using The R Commander written by John Fox and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-15 with Mathematics categories.

This book provides a general introduction to the R Commander graphical user interface (GUI) to R for readers who are unfamiliar with R. It is suitable for use as a supplementary text in a basic or intermediate-level statistics course. It is not intended to replace a basic or other statistics text but rather to complement it, although it does promote sound statistical practice in the examples. The book should also be useful to individual casual or occasional users of R for whom the standard command-line interface is an obstacle.

Big Data Analytics Beyond Hadoop

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Author : Vijay Srinivas Agneeswaran
language : en
Publisher: FT Press
Release Date : 2014-05-15

Big Data Analytics Beyond Hadoop written by Vijay Srinivas Agneeswaran and has been published by FT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-15 with Business & Economics categories.

Master alternative Big Data technologies that can do what Hadoop can't: real-time analytics and iterative machine learning. When most technical professionals think of Big Data analytics today, they think of Hadoop. But there are many cutting-edge applications that Hadoop isn't well suited for, especially real-time analytics and contexts requiring the use of iterative machine learning algorithms. Fortunately, several powerful new technologies have been developed specifically for use cases such as these. Big Data Analytics Beyond Hadoop is the first guide specifically designed to help you take the next steps beyond Hadoop. Dr. Vijay Srinivas Agneeswaran introduces the breakthrough Berkeley Data Analysis Stack (BDAS) in detail, including its motivation, design, architecture, Mesos cluster management, performance, and more. He presents realistic use cases and up-to-date example code for: Spark, the next generation in-memory computing technology from UC Berkeley Storm, the parallel real-time Big Data analytics technology from Twitter GraphLab, the next-generation graph processing paradigm from CMU and the University of Washington (with comparisons to alternatives such as Pregel and Piccolo) Halo also offers architectural and design guidance and code sketches for scaling machine learning algorithms to Big Data, and then realizing them in real-time. He concludes by previewing emerging trends, including real-time video analytics, SDNs, and even Big Data governance, security, and privacy issues. He identifies intriguing startups and new research possibilities, including BDAS extensions and cutting-edge model-driven analytics. Big Data Analytics Beyond Hadoop is an indispensable resource for everyone who wants to reach the cutting edge of Big Data analytics, and stay there: practitioners, architects, programmers, data scientists, researchers, startup entrepreneurs, and advanced students.

Doing Statistics With Spss

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Author : Alistair W Kerr
language : en
Publisher: SAGE
Release Date : 2002-04-02

Doing Statistics With Spss written by Alistair W Kerr and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-04-02 with Social Science categories.

Doing Statistics with SPSS assumes no prior understanding beyond that of basic mathematical operations and is therefore suitable for anyone undertaking an introductory statistics course as part of a science based undergraduate programme. The text will: enable the reader to make informed choices about what statistical tests to employ and what assumptions are made in using a particular test demonstrate how to execute the analysis using SPSS guide the interpretation of its output Each chapter ends with an exercise and provides detailed instructions on how to run the analysis using SPSS release 10. Learning is further guided by pointing the reader to particular aspects of the SPSS output and by having the reader engage with specified items of information from the SPSS results.

Hr Analytics Data Driven Techniques

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Author : Manish Soni
language : en
Publisher:
Release Date : 2024-11-13

Hr Analytics Data Driven Techniques written by Manish Soni and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-13 with Study Aids categories.

In the ever-evolving world of human resources, the emergence of HR analytics has revolutionized the way we understand and manage our workforce. "HR Analytics: Data-Driven Techniques" is a comprehensive guide designed to navigate you through the complexities of HR analytics, leveraging the power of Microsoft Excel. This book begins with a deep dive into the "Factors to Measure in HR Analytics", where we explore the fundamental aspects of HR analytics, including key factors, objectives, and the influence of human biases like naivety, entomologist, confirmation, projection, and stereotyping biases. Our journey then transitions into the basics with "Analytics — Introduction", providing a foundational understanding of analytics, including how to define, collect, organize, and visualize data using Excel's diverse charting capabilities such as pie charts, column charts, and the latest additions like histograms and treemaps. "Hiring Analytics and Challenges" addresses the practical application of analytics in hiring processes, discussing benchmarking, competency-based recruitment, and the critical role of interviewer bias. This section is essential for anyone looking to refine their hiring practices using data-driven strategies. "Introduction to HR Analytics" sets the stage for the rest of the book, outlining the definition, scope, and importance of HR analytics in modern business. As we delve into the "Fundamentals of Microsoft Excel for HR Analytics", readers will gain practical skills in utilizing Excel for data management and analysis – a critical tool in any HR professional's arsenal. The book then guides you through various analytical techniques, starting with "Descriptive Analytics in HR", where you learn to perform basic statistical analysis and data interpretation. "Performance Metrics" provides insights into structuring and applying performance metrics effectively, while "Compensation and HR Analytics" delves into creating comprehensive compensation frameworks and policies. For those interested in more advanced topics, chapters like "Diagnostic Analytics in HR", "Predictive Analytics in HR", and "Prescriptive Analytics in HR" cover everything from regression analysis to predictive modelling and strategic planning using Excel. We also explore "Advanced Excel Functions for HR Analytics" for more seasoned Excel users, aiming to automate and enhance their data analysis. The book does not stop at analytics within Excel; "Integrating Excel with Other HR Systems" provides valuable insights into how Excel can interact with various HRIS and other tools, emphasizing the importance of integration in modern HR practices. A highlight of this book is the "Case Study - Hiring Through Numbers — Using Hands-On Excel", offering a practical, step-by-step approach to applying HR analytics in real-world scenarios. This is complemented by "Case Studies and Real-World Applications", where we explore industry-specific examples across healthcare, technology, retail, and manufacturing sectors. "HR Analytics: Data-Driven Techniques" is not just a book; it's a journey into the heart of HR analytics. Whether you're an HR professional seeking to enhance your analytical skills, a student aspiring to enter the HR field, or a business leader looking to implement data-driven HR practices, this book is your comprehensive guide to mastering HR analytics with Microsoft Excel.

Developing News

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Author : Jairo Lugo-Ocando
language : en
Publisher: Taylor & Francis
Release Date : 2017-02-17

Developing News written by Jairo Lugo-Ocando and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-17 with History categories.

Constraints on media reporting -- Conclusion -- 6 Disempowering news: The feminisation of development -- The feminisation of poverty -- "Empowering" women - for less gender justice? -- Gendered news practices -- 7 New technologies for old ideas -- An ICT-driven new economy -- Technology as geopolitics -- Technology as colonial legitimisation -- Technology without politics? -- 8 Malthusianism and news framing of population growth -- Shifting the blame -- Legitimising racism -- Malthusianism returns as the bell curve -- Towards a better news articulation of population issues -- Conclusion: Beyond the North-to-South lecture: Can the news media ever get to the core of development? -- Us-versus-them propaganda -- What is being 'sold' -- What is being missed -- Where to from here? -- References -- Index

Multiple Regression And Beyond

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Author : Timothy Z. Keith
language : en
Publisher: Routledge
Release Date : 2014-12-19

Multiple Regression And Beyond written by Timothy Z. Keith and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-19 with Education categories.

Multiple Regression and Beyond offers a conceptually oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods. By focusing on the concepts and purposes of MR and related methods, rather than the derivation and calculation of formulae, this book introduces material to students more clearly, and in a less threatening way. In addition to illuminating content necessary for coursework, the accessibility of this approach means students are more likely to be able to conduct research using MR or SEM--and more likely to use the methods wisely. Covers both MR and SEM, while explaining their relevance to one another Also includes path analysis, confirmatory factor analysis, and latent growth modeling Figures and tables throughout provide examples and illustrate key concepts and techniques For additional resources, please visit: http://tzkeith.com/

Beyond Basic Statistics

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