Download or read book Introduction aux tests statistiques written by Thierry Foucart and published by Editions TECHNIP. This book was released on 1991 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction to Statistical Investigations First Edition AP Edition Workbook written by Nathan Tintle and published by Wiley. This book was released on 2018-09-05 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Introduction to Statistical Investigations, 1st Edition" leads readers to learn about the process of conducting statistical investigations from data collection, to exploring data, to statistical inference, to drawing appropriate conclusions. The text is designed for a one-semester introductory statistics course. It focuses on genuine research studies, active learning, and effective use of technology. Simulations and randomization tests introduce statistical inference, yielding a strong conceptual foundation that bridges students to theory-based inference approaches. Repetition allows students to see the logic and scope of inference. This implementation follows the GAISE recommendations endorsed by the American Statistical Association.
Download or read book Introduction to Statistical Investigations written by Nathan Tintle and published by Wiley Global Education. This book was released on 2015-12-17 with total page 699 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Statistical Investigations leads students to learn about the process of conducting statistical investigations from data collection, to exploring data, to statistical inference, to drawing appropriate conclusions. The text is designed for a one-semester introductory statistics course. It focuses on genuine research studies, active learning, and effective use of technology. Simulations and randomization tests introduce statistical inference, yielding a strong conceptual foundation that bridges students to theory-based inference approaches. Repetition allows students to see the logic and scope of inference. This implementation follows the GAISE recommendations endorsed by the American Statistical Association.
Download or read book Introduction to Statistical Inference written by E. S. Keeping and published by Courier Corporation. This book was released on 1995-01-01 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: This excellent text emphasizes the inferential and decision-making aspects of statistics. The first chapter is mainly concerned with the elements of the calculus of probability. Additional chapters cover the general properties of distributions, testing hypotheses, and more.
Download or read book Introduction la statistique written by Émile Amzallag and published by . This book was released on 1978 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Outre de nombreux exemples d'application, ce livre d'initiation réunit une centaine d'exercices classés par ordre de difficulté croissante et se rapportant à des domaines variés: économie, médecine, jeux, etc. Après les grandes lignes de la statistique descriptive et des rappels d'analyse combinatoire, les auteurs introduisent les principes généraux du calcul des probabilités, en montrant les possibilités d'utilisation de l'algèbre des ensembles. Les différentes lois de probabilité sont étudiées. Le dernier chapitre de l'ouvrage introduit aux tests statistiques.
Download or read book Hypothesis Testing written by Scott Hartshorn and published by . This book was released on 2017-10-29 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hypothesis Testing & Statistical Significance If you are looking for a short beginners guide packed with visual examples, this booklet is for you. Statistical significance is a way of determining if an outcome occurred by random chance, or did something cause that outcome to be different than the expected baseline. Statistical significance calculations find their way into scientific and engineering tests of all kinds, from medical tests with control group and a testing group, to the analysis of how strong a newly made batch of parts is. Those same calculations are also used in investment decisions. This book goes through all the major types of statistical significance calculations, and works through an example using them, and explains when you would use that specific type instead of one of the others. Just as importantly, this book is loaded with visual examples of what exactly statistical significance is, and the book doesn't assume that you have prior in depth knowledge of statistics or that use regularly use an advanced statistics software package. If you know what an average is and can use Excel, this book will build the rest of the knowledge, and do so in an intuitive way. For instance did you know that Statistical Significance Can Be Easily Understood By Rolling A Few Dice? In fact, you probably already know this key concept in statistical significance, although you might not have made the connection. The concept is this. Roll a single die. Is any number more likely to come up than another ? No, they are all equally likely. Now roll 2 dice and take their sum. Suddenly the number 7 is the most likely sum (which is why casinos win on it in craps). The probability of the outcome of any single die didn't change, but the probability of the outcome of the average of all the dice rolled became more predictable. If you keep increasing the number of dice rolled, the outcome of the average gets more and more predictable. This is the exact same effect that is at the heart of all the statistical significance equations (and is explained in more detail in the book) You Are Looking At Revision 2 Of This Book The book that you are looking at on Amazon right now is the second revision of the book. Earlier I said that you might have missed the intuitive connections to statistical significance that you already knew. Well that is because I missed them in the first release of this book. The first release included examples for the major types of statistical significance A Z-Test A 1 Sample T-Test A Paired T Test A 2 Sample T-Test with equal variance A 2 Sample T-test with unequal variance Descriptions of how to use a T-table and a Z-table And those examples were good for what they were, but were frankly not significantly different than you could find in many statistics textbooks or on Wikipedia. However this revision builds on those examples, draws connections between them, and most importantly explains concepts such as the normal curve or statistical significance in a way that will stick with you even if you don't remember the exact equation. If you are a visual learner and like to learn by example, this intuitive booklet might be a good fit for you. Statistical Significance is fascinating topic and likely touches your life every single day. It is a very important tool that is used in data analysis throughout a wide-range of industries - so take an easy dive into the topic with this visual approach!
Download or read book Introduction to Statistics written by Chris Leach and published by John Wiley & Sons. This book was released on 1979 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Some introductory concepts; Tests for two independent samples - ordinal or two category response variable;Tests for one sample of two related samples; Tests for several independent samples - categorical explanatory variable; Tests for several independent samples - both variables ordinal; Tests for several related samples - categorical explanatory variable; Tests for several related samples - both variables ordinal; Tests for one sample or several independent samples - both variables categoriacal.
Download or read book An Introduction to Psychological Tests and Scales written by Kate Miriam Loewenthal and published by Psychology Press. This book was released on 2018-10-08 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: In its first edition this book successfully enabled readers, with little or no prior knowledge of computing or statistics, to develop reliable and valid tests and scales for assessment or research purposes. In this edition, the author has thoroughly updated the text to include new recent advances in computer software and provide information on relevant internet resources. The book contains detailed guidelines for locating and constructing psychological measures, including descriptions of popular psychological measures and step-by-step instructions for composing a measure, entering data and computing reliability and validity of test results. Advanced techniques such as factor analysis, analysis of covariance and multiple regression analysis are presented for the beginner. An Introduction to Psychological Tests and Scales provides a clear, concise and jargon-free primer for all those embarking in fieldwork or research analysis. It will be an invaluable tool for undergraduates and postgraduates in psychology and a useful text for students and professionals in related disciplines.
Download or read book Panorama des statistiques pour psychologues written by Denis Cousineau and published by De Boeck Supérieur. This book was released on 2009-08-26 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Trop souvent, on confond les moyens de la statistique (les équations, les hypothèses, le jargon) et ses buts ("ces deux groupes se ressemblent-ils?"). Un des objectifs de ce livre est de bien mettre en évidence ce que sont les outils subalternes et ce qu'est la décision à rendre. Tout au long de l'ouvrage, des exemples d'interprétations des résultats sont donnés. Les étapes qui ont été nécessaires pour y arriver sont clairement décrites. Cet ouvrage Propose un panorama des statistiques telles qu'elles sont utilisées en psychologie et dans les sciences sociales. Ce panorama décrit une large panoplie de statistiques descriptives (moyennes, variances, asymétries, médiane, corrélation, quantile, etc.) et de statistiques inductives (tests de moyennes, de proportions, d'effectifs, de corrélations, etc.). L'emphase de l'ouvrage est sur la mise en application et non sur la théorie . Il n'est pas très utile de connaitre par coeur les équations des tests statistiques. Il est cependant de toute première importance d'avoir une idée intuitive de ce que représente une statistique, une table statistique, des étapes d'un test statistique. Pour ce faire, l'ouvrage prend progressivement ses distances face au calcul manuel des tests pour laisser de plus en plus de place à l'utilisation du logiciel SPSS. Ce choix est pédagogique mais il est surtout pratique, aucun laboratoire ne calculant ses statistiques à la main. L'ouvrage est destiné aux étudiants universitaires de premier cycle et de maîtrise. Il contient des exemples qui sont tirés des sciences sociales et de la psychologie. Il ne présuppose aucune connaissance préalable en statistique et aucune connaissance en probabilité n'est utilisée.
Download or read book Introduction to the Theory of Statistical Inference written by Hannelore Liero and published by CRC Press. This book was released on 2016-04-19 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on the authors' lecture notes, this text presents concise yet complete coverage of statistical inference theory, focusing on the fundamental classical principles. Unlike related textbooks, it combines the theoretical basis of statistical inference with a useful applied toolbox that includes linear models. Suitable for a second semester undergraduate course on statistical inference, the text offers proofs to support the mathematics and does not require any use of measure theory. It illustrates core concepts using cartoons and provides solutions to all examples and problems.
Download or read book Introduction to Robust Estimation and Hypothesis Testing written by Rand R. Wilcox and published by Academic Press. This book was released on 2011-12-14 with total page 713 pages. Available in PDF, EPUB and Kindle. Book excerpt: This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies used for developing practical solutions to problems, and provides a brief background on the foundations of modern methods, placing the new methods in historical context. Author Rand Wilcox includes chapter exercises and many real-world examples that illustrate how various methods perform in different situations. Introduction to Robust Estimation and Hypothesis Testing, Second Edition, focuses on the practical applications of modern, robust methods which can greatly enhance our chances of detecting true differences among groups and true associations among variables. - Covers latest developments in robust regression - Covers latest improvements in ANOVA - Includes newest rank-based methods - Describes and illustrated easy to use software
Download or read book An Introduction to Biostatistics written by Thomas Glover and published by Waveland Press. This book was released on 2015-06-29 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: For over a decade, Glover and Mitchell have provided life-sciences students with an accessible, complete introduction to the use of statistics in their disciplines. The authors emphasize the relationships between probability, probability distributions, and hypothesis testing using both parametric and nonparametric analyses. Copious examples throughout the text apply concepts and theories to real questions faced by researchers in biology, environmental science, biochemistry, and health sciences. Dozens of examples and problems are new to the Third Edition, as are “Concept Checks”—short questions that allow readers to immediately gauge their mastery of the topics presented. Regardless of mathematical background, all readers will appreciate the value of statistics as a fundamental quantitative skill for the life sciences.
Download or read book An Introduction to Mathematical Statistics and Its Applications written by Richard J. Larsen and published by Prentice Hall. This book was released on 1981-01-01 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability; Random variables; Special distributions; Estimation; Hypothesis testing; The normal distribution; Two-sample problems; Goodness-of-fit-tests; Regression; The analysis of variance; Randomized block designs; Nonparametric statistics.
Download or read book Computer Intensive Methods for Testing Hypotheses written by Eric W. Noreen and published by Wiley-Interscience. This book was released on 1989-05-02 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to use computer-intensive methods to assess the significance of a statistic in an hypothesis test--for both statisticians and nonstatisticians alike. The significance of almost any test can be assessed using one of the methods presented here, for the techniques given are very general (e.g. virtually every nonparametric statistical test is a special case of one of the methods covered). Programs presented are brief, easy to read, require minimal programming, and can be run on most PC's. They also serve as templates adaptable to a wide range of applications. Includes numerous illustrations of how to apply computer-intensive methods.
Download or read book Starting out in Statistics written by Patricia de Winter and published by John Wiley & Sons. This book was released on 2014-11-17 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: To form a strong grounding in human-related sciences it is essential for students to grasp the fundamental concepts of statistical analysis, rather than simply learning to use statistical software. Although the software is useful, it does not arm a student with the skills necessary to formulate the experimental design and analysis of a research project in later years of study or indeed, if working in research. This textbook deftly covers a topic that many students find difficult. With an engaging and accessible style it provides the necessary background and tools for students to use statistics confidently and creatively in their studies and future career. Key features: Up-to-date methodology, techniques and current examples relevant to the analysis of large data sets, putting statistics in context Strong emphasis on experimental design Clear illustrations throughout that support and clarify the text A companion website with explanations on how to apply learning to related software packages This is an introductory book written for undergraduate biomedical and social science students with a focus on human health, interactions, and disease. It is also useful for graduate students in these areas, and for practitioners requiring a modern refresher.
Download or read book Online Statistics Education written by David M Lane and published by . This book was released on 2014-12-02 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Online Statistics: An Interactive Multimedia Course of Study is a resource for learning and teaching introductory statistics. It contains material presented in textbook format and as video presentations. This resource features interactive demonstrations and simulations, case studies, and an analysis lab.This print edition of the public domain textbook gives the student an opportunity to own a physical copy to help enhance their educational experience. This part I features the book Front Matter, Chapters 1-10, and the full Glossary. Chapters Include:: I. Introduction, II. Graphing Distributions, III. Summarizing Distributions, IV. Describing Bivariate Data, V. Probability, VI. Research Design, VII. Normal Distributions, VIII. Advanced Graphs, IX. Sampling Distributions, and X. Estimation. Online Statistics Education: A Multimedia Course of Study (http: //onlinestatbook.com/). Project Leader: David M. Lane, Rice University.
Download or read book Introduction to Linear Models and Statistical Inference written by Steven J. Janke and published by John Wiley & Sons. This book was released on 2005-09-15 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: A multidisciplinary approach that emphasizes learning by analyzing real-world data sets This book is the result of the authors' hands-on classroom experience and is tailored to reflect how students best learn to analyze linear relationships. The text begins with the introduction of four simple examples of actual data sets. These examples are developed and analyzed throughout the text, and more complicated examples of data sets are introduced along the way. Taking a multidisciplinary approach, the book traces the conclusion of the analyses of data sets taken from geology, biology, economics, psychology, education, sociology, and environmental science. As students learn to analyze the data sets, they master increasingly sophisticated linear modeling techniques, including: * Simple linear models * Multivariate models * Model building * Analysis of variance (ANOVA) * Analysis of covariance (ANCOVA) * Logistic regression * Total least squares The basics of statistical analysis are developed and emphasized, particularly in testing the assumptions and drawing inferences from linear models. Exercises are included at the end of each chapter to test students' skills before moving on to more advanced techniques and models. These exercises are marked to indicate whether calculus, linear algebra, or computer skills are needed. Unlike other texts in the field, the mathematics underlying the models is carefully explained and accessible to students who may not have any background in calculus or linear algebra. Most chapters include an optional final section on linear algebra for students interested in developing a deeper understanding. The many data sets that appear in the text are available on the book's Web site. The MINITAB(r) software program is used to illustrate many of the examples. For students unfamiliar with MINITAB(r), an appendix introduces the key features needed to study linear models. With its multidisciplinary approach and use of real-world data sets that bring the subject alive, this is an excellent introduction to linear models for students in any of the natural or social sciences.
