Expanded and revised to include new computing exercises using actual data along with tips, solutions and a set of updated questions. Computer use is encouraged to facilitate analysis of data sets too large to be done by hand; to assist in the drawing of diagrams, histograms and scatter plots; to simulate probability models in order to illustrate probability and statistical theory. Explains how to tackle computing exercises using the statistical package MINITAB.
Author: CK-12 Foundation
Publisher: CK-12 Foundation
Release Date: 2011-10-14
CK-12's Probability and Statistics - Basic (A Full Course) is an introduction to theoretical probability and data organization. Its 8 chapters cover the following topics: Independent and Dependent Events, Conditional Probability, Discrete Random Variables, Probability Distributions, Measures of Central Tendency, Normal Distribution, Distributions of Data, and Organizing and Displaying Data for Comparison.
Author: Brenda Meery
Publisher: CK-12 Foundation
Release Date: 2012-05-08
CK-12 Foundation's Basic Probability and Statistics A Short Course is an introduction to theoretical probability and data organization. Students learn about events, conditions, random variables, and graphs and tables that allow them to manage data.
Author: Stanley L. Sclove
Publisher: CRC Press
Release Date: 2012-12-06
Genre: Business & Economics
Taking a data-driven approach, A Course on Statistics for Finance presents statistical methods for financial investment analysis. The author introduces regression analysis, time series analysis, and multivariate analysis step by step using models and methods from finance. The book begins with a review of basic statistics, including descriptive statistics, kinds of variables, and types of data sets. It then discusses regression analysis in general terms and in terms of financial investment models, such as the capital asset pricing model and the Fama/French model. It also describes mean-variance portfolio analysis and concludes with a focus on time series analysis. Providing the connection between elementary statistics courses and quantitative finance courses, this text helps both existing and future quants improve their data analysis skills and better understand the modeling process.
Basic & Business Course in Statistics II or simply BBC STAT II includes theoretical and applied topics in statistics that are of interest to students in all educational fields, such as business, economics, finance, and management. This book provides students with an excellent feedback to choose the convenient hypothesis test and estimation for population parameters and population variances. It also provides them with essential techniques to use correlation and linear regression analysis. This book includes significant places where technology is used, especially the use of Excel and PHStat 2 software. This book is designed for junior or senior students. Our guiding philosophy led us to build on this foundation in such a way that pupils acquire fundamental skills in higher business and higher statistics so that they are ready to make a decision with a least risk.
Basic Business Course in Statistics or simply BBCS includes theoretical and applied topics in statistics that are of interest to students in all educational fields, such as business, economics, finance, management and even IT. The first part of this book provides students with good knowledge about descriptive statistics, measures of dispersion, basic rules of probabilities, special probability distribution such as binomial distribution, hypergeometric distribution, multinomial distribution, Poisson distribution, normal distribution, uniform distribution, and exponential distribution. The second part of this book provides students with an excellent feedback to choose the convenient hypothesis test and estimation for population parameters and population variances. It also provides them with essential techniques to use correlation and linear regression analysis. In both parts there exist significant places where technology has been used, especially the use of Excel and PHStat software. The first part of this book is designed for Sophomore students while the second part is designed for Junior students. Our guiding philosophy led us to build on this foundation in such a way that pupils acquire fundamental skills in higher business and higher statistics so that they are ready to make a decision with a least risk.
Author: Charles Henry Brase
Publisher: Cengage Learning
Release Date: 2013-01-24
Help students overcome their apprehension about statistics Brase and Brase's UNDERSTANDING BASIC STATISTICS, Sixth Edition. A condensed and more streamlined version of the same authors' bestselling UNDERSTANDABLE STATISTICS, Tenth Edition, this book offers instructors an effective way to teach the essentials of statistics, including early coverage of regression, within a more limited time frame. Thorough yet abbreviated, the text helps students realize the real-world significance of statistics, and offers an accessible exposition and a new, complete technology package. The Sixth Edition addresses the growing importance of developing students' critical thinking and statistical literacy skills with the introduction of new features and exercises throughout the text. The use of the graphing calculator, Microsoft Excel, MINITAB, and SPSS is covered but not required. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
A Thorough Guide to Elementary Matrix Algebra and Implementation in R Basics of Matrix Algebra for Statistics with R provides a guide to elementary matrix algebra sufficient for undertaking specialized courses, such as multivariate data analysis and linear models. It also covers advanced topics, such as generalized inverses of singular and rectangular matrices and manipulation of partitioned matrices, for those who want to delve deeper into the subject. The book introduces the definition of a matrix and the basic rules of addition, subtraction, multiplication, and inversion. Later topics include determinants, calculation of eigenvectors and eigenvalues, and differentiation of linear and quadratic forms with respect to vectors. The text explores how these concepts arise in statistical techniques, including principal component analysis, canonical correlation analysis, and linear modeling. In addition to the algebraic manipulation of matrices, the book presents numerical examples that illustrate how to perform calculations by hand and using R. Many theoretical and numerical exercises of varying levels of difficulty aid readers in assessing their knowledge of the material. Outline solutions at the back of the book enable readers to verify the techniques required and obtain numerical answers. Avoiding vector spaces and other advanced mathematics, this book shows how to manipulate matrices and perform numerical calculations in R. It prepares readers for higher-level and specialized studies in statistics.
Der Grundkurs Theoretische Physik deckt in 7 Bänden alle für das Diplom und für Bachelor/Master-Studiengänge maßgeblichen Gebiete ab. Jeder Band vermittelt das im jeweiligen Semester notwendige theoretisch-physikalische Rüstzeug. Übungsaufgaben mit ausführlichen Lösungen dienen der Vertiefung des Stoffs. Der 4. Band behandelt die Gebiete Thermodynamik und Relativitätstheorie. Für die Neuauflage wurde er grundlegend überarbeitet und um 24 Aufgaben ergänzt. Durch die zweifarbige Gestaltung ist der Stoff jetzt noch übersichtlicher gegliedert.
Provides preparation for the new AQA specification B. The text provides; clear explanations of key topics; worked examples with examiners' tips; graded exercises guiding the pupil from basic to examination level; and self-assessment tests.
Author: Rebecca M. Warner
Release Date: 2012-04-10
Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked to think about the meaning of equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.
Author: Bernard Flury
Publisher: Springer Science & Business Media
Release Date: 1997-08-15
A comprehensive and self-contained introduction to the field, carefully balancing mathematical theory and practical applications. It starts at an elementary level, developing concepts of multivariate distributions from first principles. After a chapter on the multivariate normal distribution reviewing the classical parametric theory, methods of estimation are explored using the plug-in principles as well as maximum likelihood. Two chapters on discrimination and classification, including logistic regression, form the core of the book, followed by methods of testing hypotheses developed from heuristic principles, likelihood ratio tests and permutation tests. Finally, the powerful self-consistency principle is used to introduce principal components as a method of approximation, rounded off by a chapter on finite mixture analysis.
Author: Rebecca M. Warner
Release Date: 2008
With an approach that does not require formal mathematics (equations are accompanied by verbal explanations), this textbook provides a clear introduction to widely used topics in multivariate statistics, including Multiple Regression, Discriminant Analysis, MANOVA, Factor Analysis, and Binary Logistic Regression. Each chapter presents a complete empirical research example to illustrate the application of a specific method, such as Multiple Regression. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.