## Interpreting Data

*A First Course in Statistics*

**Author**: Alan J. B. Anderson

**Publisher:**Routledge

**ISBN:**1351437380

**Category:**Mathematics

**Page:**240

**View:**6831

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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.

## First Course in Statistics, A: Pearson New International Edition

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

**Publisher:**Pearson Higher Ed

**ISBN:**1292036818

**Category:**Mathematics

**Page:**600

**View:**6740

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Classic, yet contemporary. Theoretical, yet applied. McClave & Sincich’s Statistics: 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. The Eleventh Edition infuses a new focus on ethics, which is critically important when working with statistical data. Chapter Summaries have a new, study-oriented design, helping students stay focused when preparing for exams. Data, exercises, technology support, and Statistics in Action cases are updated throughout the book. In addition, MyStatLab will have increased exercise coverage and two new banks of questions to draw from: Getting Ready for Stats and Conceptual Question Library. 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.

## A First Course in Statistics

**Author**: Robert Loveday

**Publisher:**Cambridge University Press

**ISBN:**1316607003

**Category:**Mathematics

**Page:**134

**View:**2763

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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.

## A First Course in Statistics for Signal Analysis

**Author**: Wojbor A. Woyczynski

**Publisher:**Springer Science & Business Media

**ISBN:**9780817645168

**Category:**Mathematics

**Page:**208

**View:**7358

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This self-contained, deliberately compact, and user-friendly book 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, explained in a concise, yet fairly rigorous presentation. Developed by the author over the course of several years of classroom use, this book may be used by junior/senior undergraduates or graduate students in electrical, systems, computer, and biomedical engineering, as well as the physical sciences.

## A first course in statistics

**Author**: James T. McClave,Frank H. Dietrich

**Publisher:**N.A

**ISBN:**N.A

**Category:**Mathematics

**Page:**595

**View:**4111

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## A First Course in Statistics for Signal Analysis

**Author**: Wojbor Woyczynski

**Publisher:**Birkhäuser

**ISBN:**9780817681029

**Category:**Mathematics

**Page:**261

**View:**5560

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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 Probability and Statistics

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

**Publisher:**World Scientific

**ISBN:**9812836535

**Category:**Mathematics

**Page:**317

**View:**2390

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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

**Author**: E.F. LINDQUIST

**Publisher:**N.A

**ISBN:**N.A

**Category:**

**Page:**N.A

**View:**7536

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## A First Course in Statistical Programming with R

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

**Publisher:**Cambridge University Press

**ISBN:**1139466534

**Category:**Computers

**Page:**N.A

**View:**3172

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This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the ground-breaking R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Learning the language is made easier by the frequent exercises and end-of-chapter reviews that help you progress confidently through the book. Solutions, datasets and any errata will be available from the book's web site. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis.

## A First Course in Statistics

**Author**: N.A

**Publisher:**CUP Archive

**ISBN:**N.A

**Category:**

**Page:**N.A

**View:**1743

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## A first course in statistics

**Author**: Marshall Gordon,Norman Schaumberger

**Publisher:**N.A

**ISBN:**N.A

**Category:**Mathematics

**Page:**213

**View:**3380

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## 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:**3435

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## A First Course in Statistical Methods

**Author**: Lyman Ott,Michael Longnecker

**Publisher:**Duxbury Press

**ISBN:**9780534408060

**Category:**Mathematics

**Page:**741

**View:**5108

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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.

## 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:**986

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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.

## SPSS Basics

*Techniques for a First Course in Statistics*

**Author**: Zealure C. Holcomb

**Publisher:**Routledge

**ISBN:**9781884585821

**Category:**Mathematics

**Page:**186

**View:**7972

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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.

## A First Course in Order Statistics

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

**Publisher:**SIAM

**ISBN:**0898716489

**Category:**Mathematics

**Page:**279

**View:**958

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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.

## First Course in Statistics

**Author**: Nancy S. Boudreau,James T. McClave,Terry Sincich

**Publisher:**Prentice Hall

**ISBN:**9780135955390

**Category:**Mathematics

**Page:**200

**View:**8638

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## A First Course in Statistics

**Author**: D. Caradog Jones

**Publisher:**N.A

**ISBN:**N.A

**Category:**Statistics

**Page:**286

**View:**9477

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## A First Course in Multivariate Statistics

**Author**: Bernard Flury

**Publisher:**Springer Science & Business Media

**ISBN:**1475727658

**Category:**Mathematics

**Page:**715

**View:**6366

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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.

## Student's Solutions Manual for a First Course in Statistics

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

**Publisher:**Pearson

**ISBN:**9780134081014

**Category:**Mathematics

**Page:**344

**View:**7858

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This manual contains completely worked-out solutions for all the odd numbered exercises in the text.