Statistics Toolkit
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Statistics Toolkit
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Author : Rafael Perera
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-23
Statistics Toolkit written by Rafael Perera 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 2011-09-23 with Medical categories.
This concise book will help you to interpret the statistical evidence provided by quantitative studies and to plan how to work with data in your own clinical research. Following the successful format of the Toolkit series, Statistics Toolkit guides the reader through statistical concepts using flowcharts, diagrams and real life examples to reflect concepts in a simple and practical manner. Sections include: Clear explanation of basic concepts in the context of clinical research Demonstration of how data are described, displayed and interpreted in different formats Practical glossary and key to the symbols used in statistics and a discussion of the software tools The book offers a handy, quick reference that has an easy-to-follow structure throughout, making it ideal for health care professionals and students.
The Statistics Toolkit
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Author : Joel Lalone
language : en
Publisher: McGraw-Hill Primis Custom Publishing
Release Date : 1998-08-18
The Statistics Toolkit written by Joel Lalone and has been published by McGraw-Hill Primis Custom Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-08-18 with Mathematical statistics categories.
This text is written for statistics courses for which the prerequisite is 3 years of high school math and/or a college algebra/precalculus course.The first 5 chapters are intended for a 3 credit hour course that covers statistical inference through two-variable techniques (t-tests, Chi Square, and correlation). Chapter 6 is written in reference guide format. This chapter can be used in a second 3 credit course covering ANOVA, nonparametrics, multiple regression, nonlinear regression, and an introduction t multivariate techniques.The text comes as a package, bundled with Minitab Student Release 12 and the brief Minitab manual, MEET MINITAB.
Workshop Statistics
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Author : Beth L. Chance
language : en
Publisher:
Release Date : 2004-08
Workshop Statistics written by Beth L. Chance and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-08 with Mathematical statistics categories.
"This Student Toolkit serves as a supplement to the Workshop Statistics course books, and as such, contains additional resource material to aid your learning of fundamental statistical concepts, properties, and techniques. We hope that the additional examples, questions, and discussions that accompany each topic will enhance your discovery of the material in Workshop Statistics. We encourage you to work through the open-ended questions the way you would complete similar Workshop Statistics questions: apply your own knowledge first, then use the discussion in the Toolkit to test your understanding."--vii.
A Python Data Analyst S Toolkit
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Author : Gayathri Rajagopalan
language : en
Publisher: Apress
Release Date : 2021-02-21
A Python Data Analyst S Toolkit written by Gayathri Rajagopalan and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-21 with Computers categories.
Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write code in Python, and use various Python libraries and functions for analyzing any dataset. The code is presented in Jupyter notebooks that can further be adapted and extended. This book is divided into three parts – programming with Python, data analysis and visualization, and statistics. You'll start with an introduction to Python – the syntax, functions, conditional statements, data types, and different types of containers. You'll then review more advanced concepts like regular expressions, handling of files, and solving mathematical problems with Python. The second part of the book, will cover Python libraries used for data analysis. There will be an introductory chapter covering basic concepts and terminology, and one chapter each on NumPy(the scientific computation library), Pandas (the data wrangling library) and visualization libraries like Matplotlib and Seaborn. Case studies will be included as examples to help readers understand some real-world applications of data analysis. The final chapters of book focus on statistics, elucidating important principles in statistics that are relevant to data science. These topics include probability, Bayes theorem, permutations and combinations, and hypothesis testing (ANOVA, Chi-squared test, z-test, and t-test), and how the Scipy library enables simplification of tedious calculations involved in statistics. What You'll Learn Further your programming and analytical skills with Python Solve mathematical problems in calculus, and set theory and algebra with Python Work with various libraries in Python to structure, analyze, and visualize data Tackle real-life case studies using Python Review essential statistical concepts and use the Scipy library to solve problems in statistics Who This Book Is For Professionals working in the field of data science interested in enhancing skills in Python, data analysis and statistics.
Tools For Statistical Inference
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Author : Martin A. Tanner
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Tools For Statistical Inference written by Martin A. Tanner and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Medical categories.
From the reviews: The purpose of the book under review is to give a survey of methods for the Bayesian or likelihood-based analysis of data. The author distinguishes between two types of methods: the observed data methods and the data augmentation ones. The observed data methods are applied directly to the likelihood or posterior density of the observed data. The data augmentation methods make use of the special "missing" data structure of the problem. They rely on an augmentation of the data which simplifies the likelihood or posterior density. #Zentralblatt für Mathematik#
Statistics For Health Data Science
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Author : Ruth Etzioni
language : en
Publisher: Springer Nature
Release Date : 2021-01-04
Statistics For Health Data Science written by Ruth Etzioni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-04 with Medical categories.
Students and researchers in the health sciences are faced with greater opportunity and challenge than ever before. The opportunity stems from the explosion in publicly available data that simultaneously informs and inspires new avenues of investigation. The challenge is that the analytic tools required go far beyond the standard methods and models of basic statistics. This textbook aims to equip health care researchers with the most important elements of a modern health analytics toolkit, drawing from the fields of statistics, health econometrics, and data science. This textbook is designed to overcome students’ anxiety about data and statistics and to help them to become confident users of appropriate analytic methods for health care research studies. Methods are presented organically, with new material building naturally on what has come before. Each technique is motivated by a topical research question, explained in non-technical terms, and accompanied by engaging explanations and examples. In this way, the authors cultivate a deep (“organic”) understanding of a range of analytic techniques, their assumptions and data requirements, and their advantages and limitations. They illustrate all lessons via analyses of real data from a variety of publicly available databases, addressing relevant research questions and comparing findings to those of published studies. Ultimately, this textbook is designed to cultivate health services researchers that are thoughtful and well informed about health data science, rather than data analysts. This textbook differs from the competition in its unique blend of methods and its determination to ensure that readers gain an understanding of how, when, and why to apply them. It provides the public health researcher with a way to think analytically about scientific questions, and it offers well-founded guidance for pairing data with methods for valid analysis. Readers should feel emboldened to tackle analysis of real public datasets using traditional statistical models, health econometrics methods, and even predictive algorithms. Accompanying code and data sets are provided in an author site: https://roman-gulati.github.io/statistics-for-health-data-science/
Research Methodology
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Author : Weng Marc Lim
language : en
Publisher: GRIN Verlag
Release Date : 2012-02-12
Research Methodology written by Weng Marc Lim and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-12 with Mathematics categories.
Document from the year 2012 in the subject Mathematics - Statistics, Monash University Malaysia, Sunway Campus, language: English, abstract: Selecting appropriate sampling methods and data analysis techniques for a research study is generally accepted by all researchers in the academia as an imperative component of the research methodology. However, researchers may be encountered with dilemmas when it comes to choosing the most suitable combination of methods to obtain a randomize sample and the best data analysis techniques which are able to project the true state of affairs of the researched phenomenon. This book features a wide range of sampling and data analysis techniques which have been proven to be effectively useful in guiding researchers in the adoption of the most appropriate sampling and data analysis techniques which are in line to accomplish the established research objectives.
Straightforward Statistics
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Author : Glenn Geher
language : en
Publisher: Oxford University Press, USA
Release Date : 2014
Straightforward Statistics written by Glenn Geher and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Medical categories.
Straightforward Statistics: Understanding the Tools of Research is a clear and direct introduction to statistics for the social, behavioral, and life sciences. Based on the author's extensive experience teaching undergraduate statistics, this book provides a narrative presentation of the core principles that provide the foundation for modern-day statistics. With step-by-step guidance on the nuts and bolts of computing these statistics, the book includes detailed tutorials how to use state-of-the-art software, SPSS, to compute the basic statistics employed in modern academic and applied research. Across 13 succinct chapters, this text presents statistics using a conceptual approach along with information on the relevance of the different tools in different contexts and summaries of current research examples. Students should find this book easy useful and engaging in its presentation while instructors should find it detailed, comprehensive, accessible, and helpful in complementing a basic course in statistics.
The Analytics Lifecycle Toolkit
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Author : Gregory S. Nelson
language : en
Publisher: John Wiley & Sons
Release Date : 2018-03-07
The Analytics Lifecycle Toolkit written by Gregory S. Nelson 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 2018-03-07 with Business & Economics categories.
An evidence-based organizational framework for exceptional analytics team results The Analytics Lifecycle Toolkit provides managers with a practical manual for integrating data management and analytic technologies into their organization. Author Gregory Nelson has encountered hundreds of unique perspectives on analytics optimization from across industries; over the years, successful strategies have proven to share certain practices, skillsets, expertise, and structural traits. In this book, he details the concepts, people and processes that contribute to exemplary results, and shares an organizational framework for analytics team functions and roles. By merging analytic culture with data and technology strategies, this framework creates understanding for analytics leaders and a toolbox for practitioners. Focused on team effectiveness and the design thinking surrounding product creation, the framework is illustrated by real-world case studies to show how effective analytics team leadership works on the ground. Tools and templates include best practices for process improvement, workforce enablement, and leadership support, while guidance includes both conceptual discussion of the analytics life cycle and detailed process descriptions. Readers will be equipped to: Master fundamental concepts and practices of the analytics life cycle Understand the knowledge domains and best practices for each stage Delve into the details of analytical team processes and process optimization Utilize a robust toolkit designed to support analytic team effectiveness The analytics life cycle includes a diverse set of considerations involving the people, processes, culture, data, and technology, and managers needing stellar analytics performance must understand their unique role in the process of winnowing the big picture down to meaningful action. The Analytics Lifecycle Toolkit provides expert perspective and much-needed insight to managers, while providing practitioners with a new set of tools for optimizing results.
Basic Statistics
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Author : Peter Martin
language : en
Publisher:
Release Date : 1997
Basic Statistics written by Peter Martin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Statistics categories.