Statistiques Descriptives
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Statistiques Descriptives
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Author : Pierre Bailly
language : fr
Publisher: PUG
Release Date : 2007
Statistiques Descriptives written by Pierre Bailly and has been published by PUG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Ce livre de cours présente les principales notions et concepts utilisés dans le domaine de la statistique descriptive. Il est organisé en cinq parties sur les différents aspects de la statistique descriptive : les outils de base de la statistique descriptive (les variables, les nomenclatures, les représentations graphiques) ; les caractéristiques décrivant les distributions à une dimension (mode, médiane, moyennes, indicateurs de dispersion et de concentration) ; les techniques permettant de mettre en lumière les relations entre variables pour des distributions à deux dimensions (corrélation, ajustement, coefficient de détermination) ; les méthodes les plus simples du traitement des séries chronologiques (tendance longue, correction des variations saisonnières) ; les calculs des indices, une des informations les plus utilisées dans l'information économique et sociale. Le cours vise à donner les outils qui permettent d'analyser, car c'est l'essentiel des calculs, les résultats obtenus afin d'en obtenir une information pertinente. Cet ouvrage s'adresse aux étudiants de première année de licence d'économie-gestion, d'AES (administration économique et sociale) et plus généralement en sciences sociales. Cet ouvrage est complété par un ouvrage d'exercices, la résolution de ceux-ci facilitant la maîtrise des techniques de calcul et permettant donc une analyse des résultats.
Exploratory And Descriptive Statistics
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Author : Julie Scott Jones
language : en
Publisher: SAGE
Release Date : 2022-03-01
Exploratory And Descriptive Statistics written by Julie Scott Jones and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-01 with Social Science categories.
Nervous about statistics? This guide offers you a clear, straight to the point break down of exploratory and descriptive statistics and its potential. Anchored by lots of examples and exercises to enhance your learning, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.
Interpreting Economic And Social Data
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Author : Othmar W. Winkler
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-08-12
Interpreting Economic And Social Data written by Othmar W. Winkler 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 2009-08-12 with Business & Economics categories.
"Interpreting Economic and Social Data" aims at rehabilitating the descriptive function of socio-economic statistics, bridging the gap between today's statistical theory on one hand, and econometric and mathematical models of society on the other. It does this by offering a deeper understanding of data and methods with surprising insights, the result of the author's six decades of teaching, consulting and involvement in statistical surveys. The author challenges many preconceptions about aggregation, time series, index numbers, frequency distributions, regression analysis and probability, nudging statistical theory in a different direction. "Interpreting Economic and Social Data" also links statistics with other quantitative fields like accounting and geography. This book is aimed at students and professors in business, economics demographic and social science courses, and in general, at users of socio-economic data, requiring only an acquaintance with elementary statistical theory.
Translating Statistics To Make Decisions
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Author : Victoria Cox
language : en
Publisher: Apress
Release Date : 2017-03-10
Translating Statistics To Make Decisions written by Victoria Cox and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-10 with Business & Economics categories.
Examine and solve the common misconceptions and fallacies that non-statisticians bring to their interpretation of statistical results. Explore the many pitfalls that non-statisticians—and also statisticians who present statistical reports to non-statisticians—must avoid if statistical results are to be correctly used for evidence-based business decision making. Victoria Cox, senior statistician at the United Kingdom’s Defence Science and Technology Laboratory (Dstl), distills the lessons of her long experience presenting the actionable results of complex statistical studies to users of widely varying statistical sophistication across many disciplines: from scientists, engineers, analysts, and information technologists to executives, military personnel, project managers, and officials across UK government departments, industry, academia, and international partners. The author shows how faulty statistical reasoning often undermines the utility of statistical results even among those with advanced technical training. Translating Statistics teaches statistically naive readers enough about statistical questions, methods, models, assumptions, and statements that they will be able to extract the practical message from statistical reports and better constrain what conclusions cannot be made from the results. To non-statisticians with some statistical training, this book offers brush-ups, reminders, and tips for the proper use of statistics and solutions to common errors. To fellow statisticians, the author demonstrates how to present statistical output to non-statisticians to ensure that the statistical results are correctly understood and properly applied to real-world tasks and decisions. The book avoids algebra and proofs, but it does supply code written in R for those readers who are motivated to work out examples. Pointing along the way to instructive examples of statistics gone awry, Translating Statistics walks readers through the typical course of a statistical study, progressing from the experimental design stage through the data collection process, exploratory data analysis, descriptive statistics, uncertainty, hypothesis testing, statistical modelling and multivariate methods, to graphs suitable for final presentation. The steady focus throughout the book is on how to turn the mathematical artefacts and specialist jargon that are second nature to statisticians into plain English for corporate customers and stakeholders. The final chapter neatly summarizes the book’s lessons and insights for accurately communicating statistical reports to the non-statisticians who commission and act on them. What You'll Learn Recognize and avoid common errors and misconceptions that cause statistical studies to be misinterpreted and misused by non-statisticians in organizational settings Gain a practical understanding of the methods, processes, capabilities, and caveats of statistical studies to improve the application of statistical data to business decisions See how to code statistical solutions in R Who This Book Is For Non-statisticians—including both those with and without an introductory statistics course under their belts—who consume statistical reports in organizational settings, and statisticians who seek guidance for reporting statistical studies to non-statisticians in ways that will be accurately understood and will inform sound business and technical decisions
Interpreting Data
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Author : Alan J. B. Anderson
language : en
Publisher: Routledge
Release Date : 2018-12-19
Interpreting Data written by Alan J. B. Anderson and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-19 with Mathematics categories.
A grasp of the ways in which data can be collected, summarised and critically appraised is fundamental to application of the commonly used inferential techniques of statistics. By reviewing the criteria for the design of questionnaires, planned experiments and surveys so as to minimise bias and by considering research methodology in general, this book clarifies the basic requirements of data collection. This introduction to statistics emphasizes the importance of data - its collection, summary and appraisal - in the application of statistical techniques. This book will be invaluable to first- year students in statistics as well as to students from other disciplines on courses with a 'statistics module'. Non-numerated postgradates embarking on research will also find much of the content useful.
Statistics With Jmp
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Author : Peter Goos
language : en
Publisher: John Wiley & Sons
Release Date : 2015-05-04
Statistics With Jmp written by Peter Goos 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 2015-05-04 with Mathematics categories.
Peter Goos, Department of Statistics, University of Leuven, Faculty of Bio-Science Engineering and University of Antwerp, Faculty of Applied Economics, Belgium David Meintrup, Department of Mathematics and Statistics, University of Applied Sciences Ingolstadt, Faculty of Mechanical Engineering, Germany Thorough presentation of introductory statistics and probability theory, with numerous examples and applications using JMP JMP: Graphs, Descriptive Statistics and Probability provides an accessible and thorough overview of the most important descriptive statistics for nominal, ordinal and quantitative data with particular attention to graphical representations. The authors distinguish their approach from many modern textbooks on descriptive statistics and probability theory by offering a combination of theoretical and mathematical depth, and clear and detailed explanations of concepts. Throughout the book, the user-friendly, interactive statistical software package JMP is used for calculations, the computation of probabilities and the creation of figures. The examples are explained in detail, and accompanied by step-by-step instructions and screenshots. The reader will therefore develop an understanding of both the statistical theory and its applications. Traditional graphs such as needle charts, histograms and pie charts are included, as well as the more modern mosaic plots, bubble plots and heat maps. The authors discuss probability theory, particularly discrete probability distributions and continuous probability densities, including the binomial and Poisson distributions, and the exponential, normal and lognormal densities. They use numerous examples throughout to illustrate these distributions and densities. Key features: Introduces each concept with practical examples and demonstrations in JMP. Provides the statistical theory including detailed mathematical derivations. Presents illustrative examples in each chapter accompanied by step-by-step instructions and screenshots to help develop the reader’s understanding of both the statistical theory and its applications. A supporting website with data sets and other teaching materials. This book is equally aimed at students in engineering, economics and natural sciences who take classes in statistics as well as at masters/advanced students in applied statistics and probability theory. For teachers of applied statistics, this book provides a rich resource of course material, examples and applications.
Descriptive And Inferential Statistics Summaries Of Theory And Exercises Solved
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Author : Mercedes Orœs Lacort
language : en
Publisher: Lulu.com
Release Date : 2014-05-22
Descriptive And Inferential Statistics Summaries Of Theory And Exercises Solved written by Mercedes Orœs Lacort and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-22 with Technology & Engineering categories.
Descriptive and Inferential Statistics, is a book that is intended for university students of any college. You'll find theory as summaries, and exercises solved, on the following topics: Descriptive Statistics, Confidence Intervals and Test Hypothesis for means, proportions and variances for one sample, Chi Square Test, Test Hypothesis for means, proportions and variances, for two or more samples, and Regression line. Statistical software such as SPSS, Minitab, programs have been used in the resolution of problems and in some cases have been resolved by using the Excel and also manually.
Statistiques Descriptives
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Author : Anne Petit-Robin
language : fr
Publisher:
Release Date : 1997
Statistiques Descriptives written by Anne Petit-Robin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.
Descriptive Statistics
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Author : Freda Conway
language : en
Publisher: Hassell Street Press
Release Date : 2021-09-09
Descriptive Statistics written by Freda Conway and has been published by Hassell Street Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-09 with categories.
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Exploratory Data Analysis In Business And Economics
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Author : Thomas Cleff
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-12
Exploratory Data Analysis In Business And Economics written by Thomas Cleff 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 2013-11-12 with Business & Economics categories.
In a world in which we are constantly surrounded by data, figures, and statistics, it is imperative to understand and to be able to use quantitative methods. Statistical models and methods are among the most important tools in economic analysis, decision-making and business planning. This textbook, “Exploratory Data Analysis in Business and Economics”, aims to familiarise students of economics and business as well as practitioners in firms with the basic principles, techniques, and applications of descriptive statistics and data analysis. Drawing on practical examples from business settings, it demonstrates the basic descriptive methods of univariate and bivariate analysis. The textbook covers a range of subject matter, from data collection and scaling to the presentation and univariate analysis of quantitative data, and also includes analytic procedures for assessing bivariate relationships. It does not confine itself to presenting descriptive statistics, but also addresses the use of computer programmes such as Excel, SPSS, and STATA, thus treating all of the topics typically covered in a university course on descriptive statistics. The German edition of this textbook is one of the “bestsellers” on the German market for literature in statistics.