Practical Statistics
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Practical Statistics For Data Scientists
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Author : Peter Bruce
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2020-04-10
Practical Statistics For Data Scientists written by Peter Bruce and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-10 with Computers categories.
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying 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 or Python programming languages 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
Practical Statistics For Data Scientists
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Author : Peter Bruce
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-05-10
Practical Statistics For Data Scientists written by Peter Bruce and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-10 with Computers categories.
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
Practical Statistics For Students
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Author : Louis Cohen
language : en
Publisher: SAGE
Release Date : 1996-09-28
Practical Statistics For Students written by Louis Cohen and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-09-28 with Social Science categories.
This bestselling textbook is designed to help students understand parametric and nonparametric statistical methods so that they can tackle research problems successfully. By working through this book carefully and systematically, those who may not have a strong background in mathematics will gain a thorough grasp of the most widely used statistical methods in the social sciences.
Practical Statistics For Educators
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Author : Ruth Ravid
language : en
Publisher: Rowman & Littlefield
Release Date : 2024-07-23
Practical Statistics For Educators written by Ruth Ravid and has been published by Rowman & Littlefield this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-23 with Education categories.
Practical Statistics for Educators, Seventh Edition, is a clear and easy-to follow book written specifically for education students in introductory statistics and action research courses. It is also an invaluable resource and guidebook for educational practitioners who wish to study their own settings and for those involved in program evaluation. The book’s focus is on essential concepts in educational statistics, understanding when to use various statistical tests, and learning how to interpret results. This book introduces education students and practitioners to the use of parametric and nonparametric statistics in education, and basic concepts in statistics are explained in clear language. Formulas and equations are used sparingly, and readers are not required to do any computations. The book also includes a discussion of testing, test score interpretation, reliability, and validity. A chapter on survey design and analysis provides readers with examples that demonstrate how the different statistical tests introduced in the book can be used to analyze survey data. An extensive study guide at the end of the book provides an opportunity to review all the information that was presented in the book; the guide includes an answer key with a clear explanation of each correct answer. Throughout this text, examples taken from the field of education serve to illustrate the various concepts, terms, statistical tests, and data interpretations.
Practical Statistics For Data Scientists
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Author : Peter C. Bruce
language : en
Publisher:
Release Date : 2017
Practical Statistics For Data Scientists written by Peter C. Bruce and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Big data categories.
"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"--Provided by publisher.
Practical Statistics
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Author : Mary Rouncefield
language : en
Publisher:
Release Date : 1989
Practical Statistics written by Mary Rouncefield and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Mathematical statistics categories.
Practical Statistics
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Author : R.S.N. Pillai
language : en
Publisher: S. Chand Publishing
Release Date : 2010-12
Practical Statistics written by R.S.N. Pillai and has been published by S. Chand Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12 with Mathematics categories.
For B.Com., B.A., M.Com., M.A., MBA, ICWA, CA, etc. Solutions to the Statistics Text. This is carefully revised and thoroughly rechecked, steps into the second edition. All the errors in the first edition have been rectified. The problems selected have been rechecked.
Practical Statistics For Medical Research
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Author : Douglas G. Altman
language : en
Publisher: Chapman & Hall/CRC
Release Date : 2015-04-15
Practical Statistics For Medical Research written by Douglas G. Altman and has been published by Chapman & Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-15 with Medical categories.
Practical Statistics for Medical Research is a problem-based text for medical students, medical researchers, and others in medical areas who need to use statistics but have no special mathematics background. The author draws on thirty years of experience as a consulting medical statistician to provide clear explanations of key statistical concepts, with a firm emphasis on practical aspects of design and analysis of medical research. He gives special attention to the presentation and interpretation of results and the many real problems that arise frequently in medical research.
The Teaching Of Practical Statistics
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Author : Clive W. Anderson
language : en
Publisher:
Release Date : 1985
The Teaching Of Practical Statistics written by Clive W. Anderson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with categories.
Practical Statistics By Example Using Microsoft Excel And Minitab
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Author : Terry Sincich
language : en
Publisher: Pearson
Release Date : 2002
Practical Statistics By Example Using Microsoft Excel And Minitab written by Terry Sincich and has been published by Pearson this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Electronic spreadsheets categories.
This book/CD-ROM text for an introductory statistics course focuses on principles that are important for non-statistics majors. Each new concept is introduced and illustrated with real examples from various disciplines that demonstrate how to solve various types of statistical problems. Examples are accompanied by graphs and output for a focus on analysis and interpretation. The spreadsheet application Microsoft Excel and the statistical software MINITAB are integrated throughout the text, and tutorials on both are offered. Students are assumed to have a background in college algebra. Learning features include self- tests, and key formulas, symbols, and terms. The author is affiliated with the University of South Florida. Annotation copyrighted by Book News, Inc., Portland, OR.