Fundamentals Of Statistical Analysis
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Fundamentals Of Statistical Analysis
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Author : David Cope
language : en
Publisher:
Release Date : 2005
Fundamentals Of Statistical Analysis written by David Cope and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Law categories.
General Statistics
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Author : Warren Chase
language : en
Publisher:
Release Date : 1986-02-01
General Statistics written by Warren Chase and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986-02-01 with categories.
Fundamentals Of Statistics For College Students
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Author : S. Mantravadi, MS HCM, MPH, CPH, CHES
language : en
Publisher: Author
Release Date :
Fundamentals Of Statistics For College Students written by S. Mantravadi, MS HCM, MPH, CPH, CHES and has been published by Author this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.
An all-inclusive look at Biostatistics in the field of Public Health, with enriching examples! This book on College Statistics provides a comprehensive review. It is a must have study guide for College Statistics, offered from a student's perspective. This book includes pertinent and practical applications of statistical analysis with easy to grasp tables and graphs that visually captures the attention of the reader. This reader friendly book comes to your rescue, and wards off the unpleasant task of fishing in the unknown terrain of lost books, scratch pages, and sticky notes.
Fundamentals Of Statistics In Health Administration
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Author : Robert W. Broyles
language : en
Publisher: Jones & Bartlett Learning
Release Date : 2006
Fundamentals Of Statistics In Health Administration written by Robert W. Broyles and has been published by Jones & Bartlett Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Business & Economics categories.
There is a vast need for statistical analysis and applications in health care administration. However, students typically have weak quantitative skills. Yet students typically come armed with weak quantitative skills and a poor understanding of statistics. Statistics are a key element of many health administration courses - financial management, quantitative methods etc. but texts in this area presume skills in this area often leaving students adrift. Statistics in Health Administration Kept Simple covers essential fundamentals in a user-friendly way with a strong emphasis on practical applica
Statistics For Beginners
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Author : Matt Foster
language : en
Publisher:
Release Date : 2020-10-06
Statistics For Beginners written by Matt Foster and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-06 with Mathematics categories.
Become a Professional at Statistical Analysis and Data Science! Would you like to have the ability to implement statistical methods to your business, draw conclusions and make correct decisions based on them? Statistics play an important role in any industry and business. That's why there's a huge market for individuals who know how to conduct statistical analysis. People who have mastered this skill are considered the modern-day fortune tellers. Their abilities allow them to predict future business trends, market demands, profitability, general market risks, and sales volume! It's easy to get lost in the amount of available sources if you're only getting started. Conducting statistical analysis can be challenging for someone who was never properly introduced to the subject. This guide will help you, whether you're an absolute beginner to data science or an experienced data scientist who wants to learn new skills. Here, Matt Foster will teach you how to process data, predict outcomes, and upgrade your company's operations in the long term. Here's what you'll be able to do after reading this book: Understand and use descriptive statistics Use predictive analytics techniques to turn data into valuable information Use different learning algorithms to optimize your efficiency Analyze past data to predict future trends Integrate data from different sources to conduct a full analysis Use Python for files manipulation and handling Conduct data mining and social media analysis Master Python and PHP languages And so much more! If you're determined to learn statistical analysis, but intimidated by the huge amount of information and unfamiliar terminology, this guide will show you that you don't have to own a degree in data or computer science in order to develop this skill. All you need is this instruction manual, written in a clear, understandable way. The mechanisms are thoroughly explained and the step-by-step methods will help you conquer the world of descriptive statistics. If you want to learn how to conduct statistical analysis and implement it in your business, then Get Your Copy Now!
Fundamentals Of Modern Statistical Methods
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Author : Rand R. Wilcox
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-21
Fundamentals Of Modern Statistical Methods written by Rand R. Wilcox 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 2013-11-21 with Mathematics categories.
Conventional statistical methods routinely miss differences among groups or associations among variables. These differences are detected by more modern techniques. Hundreds of journal articles have described the reasons why standard techniques are unsatisfactory. Nonetheless, simple and intuitive explanations are generally unavailable. Without assuming any prior training in statistics, Part I of this book describes basic statistical principles from a point of view that makes their shortcomings easy to understand. Part II describes modern methods that address the problems covered in Part I. Using data from actual studies, many examples are included.
The R Software
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Author : Pierre Lafaye de Micheaux
language : en
Publisher: Springer Science & Business
Release Date : 2014-05-13
The R Software written by Pierre Lafaye de Micheaux and has been published by Springer Science & Business this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-13 with Computers categories.
The contents of The R Software are presented so as to be both comprehensive and easy for the reader to use. Besides its application as a self-learning text, this book can support lectures on R at any level from beginner to advanced. This book can serve as a textbook on R for beginners as well as more advanced users, working on Windows, MacOs or Linux OSes. The first part of the book deals with the heart of the R language and its fundamental concepts, including data organization, import and export, various manipulations, documentation, plots, programming and maintenance. The last chapter in this part deals with oriented object programming as well as interfacing R with C/C++ or Fortran, and contains a section on debugging techniques. This is followed by the second part of the book, which provides detailed explanations on how to perform many standard statistical analyses, mainly in the Biostatistics field. Topics from mathematical and statistical settings that are included are matrix operations, integration, optimization, descriptive statistics, simulations, confidence intervals and hypothesis testing, simple and multiple linear regression, and analysis of variance. Each statistical chapter in the second part relies on one or more real biomedical data sets, kindly made available by the Bordeaux School of Public Health (Institut de Santé Publique, d'Épidémiologie et de Développement - ISPED) and described at the beginning of the book. Each chapter ends with an assessment section: memorandum of most important terms, followed by a section of theoretical exercises (to be done on paper), which can be used as questions for a test. Moreover, worksheets enable the reader to check his new abilities in R. Solutions to all exercises and worksheets are included in this book.
Foundations Of Statistical Analyses And Applications With Sas
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Author : Michael Falk
language : en
Publisher: Birkhäuser
Release Date : 2012-12-06
Foundations Of Statistical Analyses And Applications With Sas written by Michael Falk and has been published by Birkhäuser this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
This book links up the theory of a selection of statistical procedures used in general practice with their application to real world data sets using the statistical software package SAS (Statistical Analysis System). These applications are intended to illustrate the theory and to provide, simultaneously, the ability to use the knowledge effectively and readily in execution.
Fundamentals Of Statistical Experimental Design And Analysis
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Author : Robert G. Easterling
language : en
Publisher: John Wiley & Sons
Release Date : 2015-10-23
Fundamentals Of Statistical Experimental Design And Analysis written by Robert G. Easterling 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 2015-10-23 with Mathematics categories.
Professionals in all areas – business; government; thephysical, life, and social sciences; engineering; medicine, etc.– benefit from using statistical experimental design tobetter understand their worlds and then use that understanding toimprove the products, processes, and programs they are responsiblefor. This book aims to provide the practitioners of tomorrow with amemorable, easy to read, engaging guide to statistics andexperimental design. This book uses examples, drawn from a variety of established texts,and embeds them in a business or scientific context, seasoned witha dash of humor, to emphasize the issues and ideas that led to theexperiment and the what-do-we-do-next? steps after theexperiment. Graphical data displays are emphasized as means ofdiscovery and communication and formulas are minimized, with afocus on interpreting the results that software produce. The roleof subject-matter knowledge, and passion, is also illustrated. Theexamples do not require specialized knowledge, and the lessons theycontain are transferrable to other contexts. Fundamentals of Statistical Experimental Design and Analysisintroduces the basic elements of an experimental design, and thebasic concepts underlying statistical analyses. Subsequent chaptersaddress the following families of experimental designs: Completely Randomized designs, with single or multipletreatment factors, quantitative or qualitative Randomized Block designs Latin Square designs Split-Unit designs Repeated Measures designs Robust designs Optimal designs Written in an accessible, student-friendly style, this book issuitable for a general audience and particularly for thoseprofessionals seeking to improve and apply their understanding ofexperimental design.
Research On Cognition Disorders
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Author : Benito Damasceno
language : en
Publisher: Springer Nature
Release Date : 2020-09-30
Research On Cognition Disorders written by Benito Damasceno and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-30 with Psychology categories.
Research on cognitive disorders is challenging due to the complexity of functions and numerous variables involved. The main purpose of this book is to effectively address the methodological issues and controversies in cognitive disorders research. First, it reviews the concept of human cognition as a complex activity involving interconnected mental and cerebral processes (its systemic structure), which represent the natural and social-cultural world by means of signs (its mediated, semiotic nature) and result from the internalization (or appropriation by the individual) of external actions and relations with things and persons (its cultural-historical origin). Subsequently, methodological issues are examined, including the use of the systemic and network approach in neuropsychological research, the concepts of single and double dissociation, single-case versus group studies, problems of brain-behavioral correlations using the lesion method and functional neuroimaging, the influence of task-relevant variables (confounders) related to the patient (e.g., age, education), to the lesion (size, etiology), and to the tests and testing conditions (ecological validity, examiner ́s experience). Finally, readers are given the fundamentals of statistics applied to biomedical and psychological research, with illustrative examples of how to calculate Z score, effect size, χ2 test, t test, Pearson ́s correlation coefficient, and simple linear regression. Methodological problems in current cognitive research on early multiple sclerosis, medial temporal lobe epilepsy, mild cognitive impairment and dementia are examined in detail.