Search results for: the-statistician-in-you

The Statistician In You

Author : Dr Leslie And Angellicia Danjou
File Size : 60.35 MB
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The Statistician In You: Simple Everyday Life-Hacks is a book for everyone who wants to understand and use statistics wherever and whenever needed. This book is designed as a real-life tutorial guide to pull out the statistician in you. This book will improve your everyday statistical skills, Microsoft Excel skills, and soft (presentation) skills. The acronym used throughout this book to help uncover secrets in hopes of inspiring good solutions is DCOVAS (define, collect, organize, visualize, analyze, and provide solutions). The background needed to understand this book is simple everyday knowledge (limited math knowledge needed). This book will inspire the statistician in you to find secrets by using simple everyday life-hacks in hopes of inspiring good solutions.

The Statistician In You

Author : Leslie D'Anjou
File Size : 68.66 MB
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The Statistician In You: Simple Everyday Life-Hacks is a book for everyone who wants to understand and use statistics wherever and whenever needed. This book is designed as a real-life tutorial guide to pull out the statistician in you. This book will improve your everyday statistical skills, Microsoft Excel skills, and soft (presentation) skills. The acronym used throughout this book to help uncover secrets in hopes of inspiring good solutions is DCOVAS (define, collect, organize, visualize, analyze, and provide solutions). The background needed to understand this book is simple everyday knowledge (limited math knowledge needed). This book will inspire the statistician in you to find secrets by using simple everyday life-hacks in hopes of inspiring good solutions.

Strategy and Statistics in Clinical Trials

Author : Joseph Tal
File Size : 78.2 MB
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Strategy and Statistics in Clinical Trials is for all individuals engaged in clinical research, including professors, physicians, researchers in corporate and government laboratories, nurses, members of the allied health professions, and post-doctoral and graduate students who are potentially less exposed to understanding the pivotal role of statistics. . Enables nonstatisticians to better understand research processes and statistics' role in these processes . Offers real-life case studies and provides a practical, "how to" guide to biomedical R&D . Delineates the statistical building blocks and concepts of clinical trials . Promotes effective cooperation between statisticians and important other parties.

Report

Author : Harriet H. Werley
File Size : 56.55 MB
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Applied Univariate Bivariate and Multivariate Statistics Using Python

Author : Daniel J. Denis
File Size : 90.9 MB
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Applied Univariate, Bivariate, and Multivariate Statistics Using Python A practical, “how-to” reference for anyone performing essential statistical analyses and data management tasks in Python Applied Univariate, Bivariate, and Multivariate Statistics Using Python delivers a comprehensive introduction to a wide range of statistical methods performed using Python in a single, one-stop reference. The book contains user-friendly guidance and instructions on using Python to run a variety of statistical procedures without getting bogged down in unnecessary theory. Throughout, the author emphasizes a set of computational tools used in the discovery of empirical patterns, as well as several popular statistical analyses and data management tasks that can be immediately applied. Most of the datasets used in the book are small enough to be easily entered into Python manually, though they can also be downloaded for free from www.datapsyc.com. Only minimal knowledge of statistics is assumed, making the book perfect for those seeking an easily accessible toolkit for statistical analysis with Python. Applied Univariate, Bivariate, and Multivariate Statistics Using Python represents the fastest way to learn how to analyze data with Python. Readers will also benefit from the inclusion of: A review of essential statistical principles, including types of data, measurement, significance tests, significance levels, and type I and type II errors An introduction to Python, exploring how to communicate with Python A treatment of exploratory data analysis, basic statistics and visual displays, including frequencies and descriptives, q-q plots, box-and-whisker plots, and data management An introduction to topics such as ANOVA, MANOVA and discriminant analysis, regression, principal components analysis, factor analysis, cluster analysis, among others, exploring the nature of what these techniques can vs. cannot do on a methodological level Perfect for undergraduate and graduate students in the social, behavioral, and natural sciences, Applied Univariate, Bivariate, and Multivariate Statistics Using Python will also earn a place in the libraries of researchers and data analysts seeking a quick go-to resource for univariate, bivariate, and multivariate analysis in Python.

Bulletin of the United States Bureau of Labor Statistics

Author :
File Size : 36.46 MB
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Statistics

Author : Eric T. Olson
File Size : 58.98 MB
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Research Methods and Statistics for Public and Nonprofit Administrators

Author : Masami Nishishiba
File Size : 45.35 MB
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"The approach is well executed. The problems encountered by [the characters] represent real-life issues than administrators are faced with and the applications needed to address them." —Lee W. Payne, Stephen F. Austin State University Research Methods and Statistics for Public and Nonprofit Administrators: A Practical Guide is a comprehensive, easy-to-read, core text that thoroughly prepares readers to apply research methods and data analysis to the professional environments of public and non-profit administration. The authors expertly incorporate original case examples to demonstrate concepts using "real actors," facing specific scenarios, in which research methods must be applied. This unique approach—presented in language accessible to both students new to research as well as current practitioners—guides the reader in fully understanding the research options detailed throughout the text.

Practical Statistics a Handbook for the Use of the Statistician at Work

Author : Charles Felton Pidgin
File Size : 72.94 MB
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Public Trust in Government Statistics

Author : Great Britain: Parliament: House of Commons: Public Administration Select Committee
File Size : 77.43 MB
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In this report the Public Administration Select Committee (PASC) concludes that, despite the positive steps implemented by the Statistics and Registration Service Act 2007 (the Act), there remain issues and concerns about the way government statistics are produced and disseminated which remain a genuine risk to public confidence in the statistical system and must be addressed. The Act was intended to ensure that statistics are produced to the highest professional standards and that effective governance structures are in place to protect transparency and accountability and the Committee found the Act had helped to improve the operation of the statistical system. However, the Act needs to have greater clarity and transparency in the way it operates and in the functioning of the UK Statistics Authority (the Statistics Authority). Those who regulate the quality of National Statistics are in the same organisation as those officials who produce data: the two groups should have a clear separation in practice, but this is hard to demonstrate when they work in the same building and share support services. It is also not appropriate that ministers should have lengthy prior access to certain statistics but other interested parties do not. The Statistics Authority does not seem to have sufficient control over the quality and integrity of the different data sets and statistical products produced by departments and their agencies. Planning and improving data access both within Government and for users outside Government should be given greater attention by the Statistics Authority, as well as by Government departments.

New Statistics for Design Researchers

Author : Martin Schmettow
File Size : 29.19 MB
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Statistics Straight Up

Author : Lynn H. White
File Size : 28.8 MB
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Register based Statistics

Author : Anders Wallgren
File Size : 78.63 MB
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There is a growing interest in developing register-based surveys; that is surveys based upon already available administrative data. Since huge amounts of such data are generated within various administrative systems, the opportunity exists to use the data for statistical analysis without any of the costs involved in data collection. Register-based surveys require their own methodology and the development of these methods is an important challenge to statistical science. Instead of methods on how to collect data, methods for integrating data from different sources are necessary. How should administrative data be transformed to meet the statistical needs? Register-based Statistics offers readers a detailed account of the principles and practices of this increasingly popular area of statistics. Provides a comprehensive overview of register-based statistics, both in terms of theory and advanced application. Uses real life examples taken from Statistics Sweden to illustrate fundamental global principles. Proposes a much-needed systematic terminology for the field. Describes how to create statistical registers and a methodology for integration of data from many sources as a key tool for the future. Develops estimation methods and quality concepts for register-based surveys. Discusses statistical systems consisting of many statistical registers and surveys, highlighting the importance of consistency and coherence. Register-based Statistics provides a unique guide for all those working in statistical agencies. It will also prove invaluable for academic researchers and teachers in statistics, and statisticians working with administrative systems in government institutions and enterprises.

Report of the Statistician

Author :
File Size : 63.73 MB
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Business Statistics Made Easy in SAS

Author : Gregory Lee
File Size : 40.90 MB
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This book is designed to teach businesspeople, students, and others core statistical concepts and applications. It begins with absolute core principles and takes you through an overview of statistics, data and data collection, an introduction to SAS, and basic statistics (descriptive statistics and basic associational statistics). It provides an overview of statistical modeling, effect size, statistical significance and power testing, basics of linear regression, introduction to comparison of means, basics of chi-square tests for categories, extrapolating statistics to business outcomes, and some topical issues in statistics, such as big data, simulation, machine learning, and data warehousing. It teaches the core ideas of statistics through methods such as careful, intuitive written explanations, easy-to-follow diagrams, step-by-step technique implementation, and interesting metaphors. --

Statistics for Nursing a Practical Approach

Author : Assistant Professor of Nursing Suny College at Brockport Brockport New York Elizabeth Heavey
File Size : 34.91 MB
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Statistics for Nursing: A Practical Approach, Second Edition is designed in accordance with the Conversation Theory of Gordon Pask and presents the complicated topic of statistics in an understandable manner for entry level nurses. The underlying principle of this design is to give students the opportunity to practice statistics while they learn statistics. The text accomplishes this through the inclusion of relevant clinical examples followed by end of chapter application exercises. The Second Edition focuses on topics around Nursing Practice and was selected based on a review of the current statistical techniques used most frequently in nursing literature. The top ten statistical techniques used throughout nursing are covered very clearly in the text and without any irrelevant complicating concepts. This text meets the needs of both undergraduate nursing research students who need to learn how to critically analyze literature as well as graduate DNP students who must also be familiar with statistics for nursing in accordance with the rigor of the DNP program. Key Features: Designed in accordance with the Conversation Theory of Gordon Pask Clinically Relevant examples found in each chapter Review questions at the end of each chapter Three comprehensive appendices featuring nursing research articles Opportunity for review and application of statistics via an online resource Instructor Resources include: Recorded Lectures SPSS Video Written Tutorials Homework Review Videos Test Bank

Introductory Biological Statistics

Author : John E. Havel
File Size : 28.28 MB
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A thorough understanding of biology, no matter which subfield, requires a thorough understanding of statistics. As in previous editions, Havel and Hampton (with new co-author Scott Meiners) ground students in all essential methods of descriptive and inferential statistics, using examples from different biological sciences. The authors have retained the readable, accessible writing style popular with both students and instructors. Pedagogical improvements new to this edition include concept checks in all chapters to assist students in active learning and code samples showing how to solve many of the book's examples using R. Each chapter features numerous practice and homework exercises, with larger data sets available for download at waveland.com.

Report of the Statistician

Author : United States. Department of Agriculture. Bureau of Statistics
File Size : 29.12 MB
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Statistically Speaking

Author : C.C. Gaither
File Size : 89.33 MB
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Statistically Speaking is a book of quotations. It brings together the best expressed thoughts that are especially illuminating and pertinent to the disciplines of probability and statistics. The book is an aid for the individual who loves to quote – and to quote correctly.

Statistics A Gentle Introduction

Author : Frederick L. Coolidge
File Size : 60.86 MB
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With Statistics: A Gentle Introduction, Third Edition, an introductory stats class needn't be difficult or dull! Frederick L. Coolidge specifically designed his text to curtail students' anxieties and minimize unnecessary formulas, while providing a comprehensive review of basic statistical designs and analyses. A wealth of additional real-world examples have been included to give a sense of how the science of statistics works, solves problems, and helps us make informed choices about the world we live in. The author minimizes the use of formulas, but provides a step-by-step approach to their solution, and includes a glossary of key terms, symbols, and definitions at the end of each chapter. Every chapter also includes a short story about historical and contemporary statisticians who figured prominently in the evolution of the discipline of statistics. New to the Third Edition is the thorough incorporation of SPSS throughout, more visual material and figures, and an enhanced treatment of effect sizes, and more detailed explanation of statistical concepts.