## A First Course in Statistics

**Author**: James T. McClave,Terry T Sincich

**Publisher:**Pearson

**ISBN:**0134080793

**Category:**Mathematics

**Page:**624

**View:**6490

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For courses in introductory statistics. A Contemporary Classic Classic, yet contemporary; theoretical, yet applied–McClave & Sincich’s A First Course in Statistics gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasizes inference and integrates real data throughout. The authors stress the development of statistical thinking, the assessment of credibility, and value of the inferences made from data. This new edition is extensively revised with an eye on clearer, more concise language throughout the text and in the exercises. Ideal for one- or two-semester courses in introductory statistics, this text assumes a mathematical background of basic algebra. Flexibility is built in for instructors who teach a more advanced course, with optional footnotes about calculus and the underlying theory. Also available with MyStatLab MyStatLab™ is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. For this edition, MyStatLab offers 30% new and updated exercises. Note: You are purchasing a standalone product; MyLab™ & Mastering™ does not come packaged with this content. Students, if interested in purchasing this title with MyLab & Mastering, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab & Mastering, search for: 0134090438 / 9780134090436 * Statistics Plus New MyStatLab with Pearson eText -- Access Card Package Package consists of: 0134080211 / 9780134080215 * Statistics 0321847997 / 9780321847997 * My StatLab Glue-in Access Card 032184839X / 9780321848390 * MyStatLab Inside Sticker for Glue-In Packages

## SPSS Basics

*Techniques for a First Course in Statistics*

**Author**: Zealure C. Holcomb

**Publisher:**Pyrczak Pub

**ISBN:**9781884585951

**Category:**Mathematics

**Page:**200

**View:**786

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The topics are presented in the same sequence as in a first course -not in SPSS groupings. For instance, instead of a single chapter on using SPSS to produce a variety of statistical figures, each type of figure is illustrated at an appropriate point in this text. The sequential organization makes it easy for students to navigate SPSS for the specific purposes they need in class. No previous knowledge of SPSS is assumed. Each step is clearly explained and fully illustrated. Each chapter defines one or two statistics, describes when to use them, and illustrates how to compute them using SPSS. Each chapter shows how to format raw SPSS output and describe it in a research report. All examples are consistent with the styles specified in the Publication Manual of the American Psychological Association.. Hundreds of screenshots with superimposed arrows make it easy for students to follow the step-by-step directions for using SPSS. End-of-chapter exercises help students master their new skills. An answer key will be included with each examination copy. New to this edition: A new chapter (Chapter 11) on simple linear regression has been added to this edition, providing more comprehensive coverage of statistics commonly included in introductory statistics textbooks.

## A First Course in Statistical Programming with R

**Author**: W. John Braun,Duncan J. Murdoch

**Publisher:**Cambridge University Press

**ISBN:**1107576466

**Category:**Computers

**Page:**230

**View:**2432

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Learn to program in R from the experts with this new, color edition of Braun and Murdoch's bestselling textbook.

## A casebook for a first course in statistics and data analysis

**Author**: Samprit Chatterjee,Mark Stephen Handcock,Jeffrey S. Simonoff

**Publisher:**N.A

**ISBN:**N.A

**Category:**Mathematics

**Page:**314

**View:**2967

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## A First Course in Bayesian Statistical Methods

**Author**: Peter D. Hoff

**Publisher:**Springer Science & Business Media

**ISBN:**9780387924076

**Category:**Mathematics

**Page:**272

**View:**4261

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A self-contained introduction to probability, exchangeability and Bayes’ rule provides a theoretical understanding of the applied material. Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves. The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.

## A First Course in Multivariate Statistics

**Author**: Bernard Flury

**Publisher:**Springer Science & Business Media

**ISBN:**1475727658

**Category:**Mathematics

**Page:**715

**View:**3404

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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.

## A First Course in Order Statistics

**Author**: Barry C. Arnold,N. Balakrishnan,H. N. Nagaraja

**Publisher:**SIAM

**ISBN:**0898716489

**Category:**Mathematics

**Page:**279

**View:**6075

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This updated classic text will aid readers in understanding much of the current literature on order statistics: a flourishing field of study that is essential for any practising statistician and a vital part of the training for students in statistics. Written in a simple style that requires no advanced mathematical or statistical background, the book introduces the general theory of order statistics and their applications. The book covers topics such as distribution theory for order statistics from continuous and discrete populations, moment relations, bounds and approximations, order statistics in statistical inference and characterisation results, and basic asymptotic theory. There is also a short introduction to record values and related statistics. The authors have updated the text with suggestions for further reading that may be used for self-study. Written for advanced undergraduate and graduate students in statistics and mathematics, practising statisticians, engineers, climatologists, economists, and biologists.

## The Book of R

*A First Course in Programming and Statistics*

**Author**: Tilman M. Davies

**Publisher:**No Starch Press

**ISBN:**1593277792

**Category:**Computers

**Page:**832

**View:**8881

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The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.

## A First Course in Statistical Methods

**Author**: Lyman Ott,Michael Longnecker

**Publisher:**Duxbury Press

**ISBN:**9780534408060

**Category:**Mathematics

**Page:**741

**View:**2544

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A FIRST COURSE IN STATISTICAL METHODS addresses a pressing need in the methods courseâ€”a shorter text designed for a one-term course. By selecting and revising material from their best-selling two-semester text, AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Fifth Edition, the authors created an ideal book for a one-term course in statistical methods. Based on the belief that statistics is a thought process tied to the scientific method, the text utilizes a 5-step approach: 1) defining the problem, 2) collecting data, 3) summarizing data, 4) analyzing and interpreting the data, and 5) communicating the results of the analysis.

## A First Course in Statistics

**Author**: Robert Loveday

**Publisher:**Cambridge University Press

**ISBN:**1316607003

**Category:**Mathematics

**Page:**134

**View:**2431

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Originally published in 1958, this informative textbook is the first part of a two-volume set, which explores the subject of statistics in full, from elementary to advanced level. Primarily aimed at school students as a course of self-study, this first part focuses on the elementary and contains multiple examples and exercises, predominantly taken from past examination papers so as to meet the requirements of examinations at the time of publication. Chapters cover all of the key topics expected of an elementary-level statistics course; chapter titles include, 'Frequency distributions', 'Averages' and 'The analysis of a time-series'. Notably, the more difficult sections are marked with asterisks and tables of logarithms, antilogarithms, squares and square roots are included for reference. This 'numerical, experimental and practical' book will be of great value to scholars of mathematics as well as to anyone with an interest in physics, economics and the history of education.

## Interpreting Data

*A First Course in Statistics*

**Author**: A J B Anderson

**Publisher:**CRC Press

**ISBN:**9780412295706

**Category:**Mathematics

**Page:**240

**View:**8373

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Textbook for first-year students. Reviews the criteria for the design of questionaires, planned experiments and surveys; also, considers research methodology in general. Application areas range over economic and social studies, demography, epidemiology and the life sciences in general. Available in paper at $24. Annotation copyrighted by Book News, Inc., Portland, OR

## A First Course in Probability and Statistics

**Author**: B. L. S. Prakasa Rao

**Publisher:**World Scientific

**ISBN:**9812836535

**Category:**Mathematics

**Page:**317

**View:**7279

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This book provides a clear exposition of the theory of probability along with applications in statistics.

## A First Course in Statistics for Signal Analysis

**Author**: Wojbor A. Woyczynski

**Publisher:**Springer Science & Business Media

**ISBN:**9780817681012

**Category:**Mathematics

**Page:**261

**View:**7482

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This self-contained and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationships in the statistical theory of stationary random signals, which are explained in a concise, yet rigorous presentation. With abundant practice exercises and thorough explanations, A First Course in Statistics for Signal Analysis is an excellent tool for both teaching students and training laboratory scientists and engineers. Improvements in the second edition include considerably expanded sections, enhanced precision, and more illustrative figures.

## A first course in statistics

**Author**: Marshall Gordon,Norman Schaumberger

**Publisher:**N.A

**ISBN:**N.A

**Category:**Mathematics

**Page:**213

**View:**7567

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## A First Course in Statistics

**Author**: D. Caradog Jones

**Publisher:**N.A

**ISBN:**N.A

**Category:**Statistics

**Page:**286

**View:**6318

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## A First Course in Business Statistics

**Author**: James T. McClave,P. George Benson,Terry Sincich

**Publisher:**Pearson College Division

**ISBN:**9780130186799

**Category:**Business & Economics

**Page:**758

**View:**345

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Designed for readers with a background in basic algebra, this best-selling introduction to statistics for business and economics emphasizes inference—with extensive coverage of data collection and analysis as needed to evaluate the reported results of statistical studies and make good business decisions. It stresses the development of statistical thinking, the assessment of credibility and value of the inferences made from data—both by those who consume and those who produce them—and features numerous case studies, examples, and exercises—all drawing on real business situations and recent economic events. Statistics, Data, and Statistical Thinking. Methods for Describing Sets of Data. Probability. Random Variables and Probability Distributions. Inferences Based on a Single Sample: Estimation with Confidence Intervals. Inferences Based on a Single Sample: Tests of Hypothesis. Comparing Population Means. Comparing Population Proportions. Simple Linear Regression. Introduction to Multiple Regression. Basic Methods for Quality Improvement. For anyone interested in statistics for business and economics.

## A First Course in Statistics

**Author**: N.A

**Publisher:**CUP Archive

**ISBN:**N.A

**Category:**

**Page:**N.A

**View:**2659

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## e-Study Guide for: A First Course In Statistics For Signal Analysis by Wojbor A. Woyczynski, ISBN 9780817681005

**Author**: Cram101 Textbook Reviews

**Publisher:**Cram101 Textbook Reviews

**ISBN:**1478432764

**Category:**Education

**Page:**22

**View:**8388

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Never Highlight a Book Again! Just the FACTS101 study guides give the student the textbook outlines, highlights, practice quizzes and optional access to the full practice tests for their textbook.

## Statistics for Mathematicians

*A Rigorous First Course*

**Author**: Victor M. Panaretos

**Publisher:**Birkhäuser

**ISBN:**3319283413

**Category:**Mathematics

**Page:**177

**View:**1625

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This textbook provides a coherent introduction to the main concepts and methods of one-parameter statistical inference. Intended for students of Mathematics taking their first course in Statistics, the focus is on Statistics for Mathematicians rather than on Mathematical Statistics. The goal is not to focus on the mathematical/theoretical aspects of the subject, but rather to provide an introduction to the subject tailored to the mindset and tastes of Mathematics students, who are sometimes turned off by the informal nature of Statistics courses. This book can be used as the basis for an elementary semester-long first course on Statistics with a firm sense of direction that does not sacrifice rigor. The deeper goal of the text is to attract the attention of promising Mathematics students.

## A FIRST COURSE IN STATISTICS

**Author**: E.F. LINDQUIST

**Publisher:**N.A

**ISBN:**N.A

**Category:**

**Page:**N.A

**View:**7464

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