Doing Data Analysis with SPSS, 4/e

ISBN: 978-0495556510｜344Pages｜paperback｜©2009｜

Author
Robert H. Carver - Stonehill College
Jane Gradwohl Nash - Stonehill College

Description 
Now updated For SPSS 16.0, This Book Is an Excellent Supplement To any Introductory Statistics Course. It Provides a Practical and useful Introduction To SPSS 16.0 and Enables Students To work Independently To learn Helpful Software Skills outside of Class. By using SPSS To Handle Complex Computations, Students Can Focus on and Gain an understanding of The underlying Statistical Concepts and Techniques In The Introductory Statistics Course.

Table of Contents
Session 1 A First look at spss
Session 2 Tables and graphs for one variable
Session 3 Tables and graphs for two variables
Session 4 One-variable descriptive statistics
Session 5 Two-variable descriptive statistics
Session 6 Elementary probability
Session 7 Discrete probability distributions
Session 8 Normal density functios
Session 9 Sampling distributions
Session 10 Confidence intervals
Session 11 One-sample hypothesis tests
Session 12 Two-sample hypothesis tests
Session 13 Analysis of variance (i)
Session 14 Analysis of variance (ii)
Session 15 Linear regression (i)
Session 16 Linear regression (ii)
Session 17 Multiple regression
Session 18 Nonlinear models
Session 19 Basic forecasting techniques
Session 20 Chi-square tests
Session 21 Nonparametric tests
Session 22 Tools for quality

Finite Mathematics, 8/e

ISBN: 978-1285084688 ｜888Pages｜paperback｜©2013｜

Author
Howard Rolf - Baylor University

Description 
Get the background you need and discover the usefulness of mathematics in analyzing and solving problems with Finite Mathematics, 8E, International Edition. The author clearly explains concepts, and the computations demonstrate enough detail to allow you to follow and learn steps in the problem-solving process. Hundreds of examples and exercises, many based on real-world data, illustrate the practical applications of mathematical concepts. The book also includes technology guidelines to help you successfully use graphing calculators and Microsoft(r) Excel(r) to solve selected exercises.

Table of Contents
Ch 1 Functions and lines
Ch 2 Linear systems
Ch 3 Linear programming
Ch 4 Linear programming: the simplex method
Ch 5 Mathematics of finance
Ch 6 Sets and counting
Ch 7 Probability
Ch 8 Statistics
Ch 9 Game theory
Ch10 Logic

Statistics,4/e

ISBN: 9780538735919 ｜752Pages｜paperback｜©2012｜

Author
Jessica M. Utts - University of California, Irvine
Robert F. Heckard - Pennsylvania State University

Description 
MIND ON STATISTICS helps you develop a conceptual understanding of statistical ideas and shows you how to find meaning in data. The authors--who are committed to changing any preconception you may have about statistics being boring--engage your curiosity with intriguing questions, and explain statistical topics in the context of interesting, useful examples and case studies. You'll develop your statistical intuition by focusing on analyzing data and interpreting results, rather than on mathematical formulation. As a result, you'll build both your statistical literacy and your understanding of statistical methodology.

Table of Contents
Ch 1 Statistics success stories and cautionary tales
Ch 2 Turning data into information
Ch 3 Relationships between quantitative variables
Ch 4 Relationships between categorical variables
Ch 5 Sampling: surveys and how to ask questions
Ch 6 Gathering useful data for examining relationships
Ch 7 Probability
Ch 8 Random variables
Ch 9 Understanding sampling distributions: statistics as random variables
Ch10 Estimating proportions with confidence
Ch11 Estimating means with confidence
Ch12 Testing hypotheses about proportions
Ch13 Testing hypotheses about means
Ch14 Inference about simple regression
Ch15 More about inference for categorical variables
Ch16 Analysis of variance
Ch17 Turning information into wisdom

Multivariate Analysis for the Biobehavioral and Social Sciences: A Graphical Approach

ISBN13: 9780470537565｜496pages｜Hardcover｜©2012｜
Author
Bruce L. Brown - University of Brigham Young
Suzanne B. Hendrix - Consultant
Dawson W. Hedges - University of Brigham Young
Timothy B. Smith - University of Brigham Young

Description 
Each topic is introduced with a research-publication case study that demonstrates its real-world value. Next, the question "how do you do that?" is addressed with a complete, yet simplified, demonstration of the mathematics and concepts of the method. Finally, the authors show how the analysis of the data is performed using Stata, SAS, and SPSS. The discussed approaches are also applicable to a wide variety of modern extensions of multivariate methods as well as modern univariate regression methods. Chapters conclude with conceptual questions about the meaning of each method; computational questions that test the reader's ability to carry out the procedures on simple datasets; and data analysis questions for the use of the discussed software packages.
Multivariate Analysis for the Biobehavioral and Social Sciences is an excellent book for behavioral, health, and social science courses on multivariate statistics at the graduate level. The book also serves as a valuable reference for professionals and researchers in the social, behavioral, and health sciences who would like to learn more about multivariate analysis and its relevant applications.

Table of Contents
Ch 1 Overview of Multivariate and Regression Methods
Ch 2 The Seven Habits of Highly Effective Quants
Ch 3 Fundamentals of Matrix Algebra
Ch 4 Factor Analysis and Related Methods
Ch 5 Multivariate Graphics
Ch 6 Canonical Correlation
Ch 7 Hotelling's T2 as the Simplest Case of Multivariate Inference
Ch 8 Multivariate Analysis of Variance
Ch 9 Multiple Regression and the General Linear Model

Statistical Reasoning in the Behavioral Sciences 6/e

ISBN13: 9780470643822｜496pages｜Hardcover｜©2011｜
Author
Bruce M. King - University of Clemson
Patrick J. Rosopa - University of Clemson
Edward W. Minium - San Jose State University

Description 
Cited by more than 300 scholars, Statistical Reasoning in the Behavioral Sciences continues to provide streamlined resources and easy-to-understand information on statistics in the behavioral sciences and related fields, including psychology, education, human resources management, and sociology.
The sixth edition includes new information about the use of computers in statistics and offers screenshots of IBM SPSS (formerly SPSS) menus, dialog boxes, and output in selected chapters without sacrificing any of the conceptual logic and the statistical formulas needed to facilitate understanding. The example problems have been updated to reflect more current topics (e.g., text messaging while driving, violence in the media). The latest research and new photos have been integrated throughout the text to make the material more accessible. With these changes, students and professionals in the behavioral sciences will develop an understanding of statistical logic and procedures, the properties of statistical devices, and the importance of the assumptions underlying statistical tools.

Table of Contents
Ch 1 Introduction
Ch 2 Frequency Distributions, Percentiles, and Percentile Ranks
Ch 3 Graphic Representation of Frequency Distributions
Ch 4 Central Tendency
Ch 5 Variability and Standard (z) Scores
Ch 6 Standard Scores and the Normal Curve
Ch 7 Correlation
Ch 8 Prediction
Ch 9 Interpretive Aspects of Correlation and Regression
Ch 10 Probability
Ch 11 Random Sampling and Sampling Distributions
Ch 12 Introduction to Statistical Inference
Ch 13 Interpreting the Results of Hypothesis Testing: Effect Size, Type I and Type II Errors, and Power
Ch 14 Testing Hypotheses about the Difference between Two Independent Groups
Ch 15 Testing for a Difference between Two Dependent (Correlated) Groups
Ch 16 Inference about Correlation Coefficients
Ch 17 An Alternative to Hypothesis Testing
Ch 18 Testing for Differences among Three or More Groups
Ch 19 Factorial Analysis of VarianceCh 20 Chi-Square and Inference about Frequencies
Ch 21 Some (Almost) Assumption-Free Tests

Applied Calculus 4/e

ISBN13:9780470505892｜584pages｜Paperback｜©2010｜
Author
Deborah Hughes-Hallett - University of Arizona
Andrew M. Gleason - Harvard University
Patti Frazer Lock - St. Lawrence University
Brad G. Osgood - University of Stanford  et al.

Description 
The fourth edition gives readers the skills to apply calculus on the job. It highlights the applications' connection with real-world concerns. The problems take advantage of computers and graphing calculators to help them think mathematically. The applied exercises challenge them to apply the math they have learned in new ways. This develops their capacity for modeling in a way that the usual exercises patterned after similar solved examples cannot do. The material is also presented in a way to help business professionals decide when to use technology, which empowers them to learn what calculators/computers can and cannot do.

Table of Contents
Ch 1 Functions And Change
Ch 2 Rate of Change: The Derivative
Ch 3 Short-Cuts to Differentiation
Ch 4 Using the Derivative
Ch 5 Accumulated Change: The Definite Integral
Ch 6 Using the Definite Integral
Ch 7 Antiderivatives
Ch 8 Probability
Ch 9 Functions of Several Variables
Ch 10 Mathematical Modeling Using Differential Equations
Ch 11 Geometric Series

Introductory Statistics 7/e - ISV

ISBN13:9780470505830｜736pages｜Paperback｜©2010｜
Author
Prem S. Mann - Eastern Connecticut State University

Description 
Through six previous editions, Introductory Statistics has made statistics both interesting and accessible to a wide and varied audience. The realistic content of its examples and exercises, the clarity and brevity of its presentation, and the soundness of its pedagogical approach have received the highest remarks from both students and instructors. Now this bestseller is available in a new 7th edition.

Table of Contents
Ch 1 Introduction
Ch 2 Organizing and Graphing Data
Ch 3 Numerical Descriptive Measures
Ch 4 Probability
Ch 5 Discrete Random Variable & Their Probability Distributions
Ch 6 Continuous Random Variables and the Normal Distribution
Ch 7 Sampling Distributions
Ch 8 Estimation of the Mean and Proportion
Ch 9 Hypothesis Tests About the Mean and Proportion
Ch 10 Estimation & Hypothesis Testing
Ch 11 Chi Square Tests
Ch 12 Analysis of Variance
Ch 13 Simple Linear Regression
Ch 14 Multiple Regression-On Website Only
Ch 15 Nonparametric Methods-On Website Only

College Algebra 1/E

ISBN13: 9780470470770｜528pages｜Paperback｜©2011｜
Author
Sheldon Axler

Description
College Algebra, First Edition will appeal to those who want to give important topics more in-depth, higher-level coverage. This text offers streamlined approach accompanied with accessible definitions across all chapters to allow for an easy-to-understand read. College Algebra contains prose that is precise, accurate, and easy to read, with straightforward definitions of even the topics that are typically most difficult for students.

Table of Contents

1 The Real Numbers.
2 Combining Algebra and Geometry.
3 Functions and Their Graphs.
4 Polynomial and Rational Functions.
5 Exponents and Logarithms.
6 e and the Natural Logarithm.
7 Systems of Equations and Inequalities.
8 Sequences, Series, and Limits.

Time Series Analysis and Forecasting by Example

ISBN13: 9780470540640｜392 pages｜Hardcover｜©2012｜
Author
Søren Bisgaard, Murat Kulahci

Description
An intuition-based approach enables you to master time series analysis with ease
Time Series Analysis and Forecasting by Example provides the fundamental techniques in time series analysis using various examples. By introducing necessary theory through examples that showcase the discussed topics, the authors successfully help readers develop an intuitive understanding of seemingly complicated time series models and their implications.
The book presents methodologies for time series analysis in a simplified, example-based approach. Using graphics, the authors discuss each presented example in detail and explain the relevant theory while also focusing on the interpretation of results in data analysis. Following a discussion of why autocorrelation is often observed when data is collected in time, subsequent chapters explore related topics, including:
-Graphical tools in time series analysis
-Procedures for developing stationary, non-stationary, and seasonal models
-How to choose the best time series model
-Constant term and cancellation of terms in ARIMA models
-Forecasting using transfer function-noise models

The final chapter is dedicated to key topics such as spurious relationships, autocorrelation in regression, and multiple time series. Throughout the book, real-world examples illustrate step-by-step procedures and instructions using statistical software packages such as SAS®, JMP, Minitab, SCA, and R. A related Web site features PowerPoint slides to accompany each chapter as well as the book's data sets.
With its extensive use of graphics and examples to explain key concepts, Time Series Analysis and Forecasting by Example is an excellent book for courses on time series analysis at the upper-undergraduate and graduate levels. it also serves as a valuable resource for practitioners and researchers who carry out data and time series analysis in the fields of engineering, business, and economics.

Table of Contents

1. Time Series Data: Examples and Basic Concepts 1
2. Visualizing Time Series Data Structures: Graphical Tools 21
3. Stationary Models 47
4. Nonstationary Models 79
5. Seasonal Models 111
6. Time Series Model Selection 155
7. Additional Issues in ARIMA Models 177
8. Transfer Function Models 203
9. Addition Topics 263

Multivariate Analysis for Biobehavioral and Social Science : A Graphical Approach

ISBN13: 9780470537565｜496 pages｜Hardcover｜©2011｜NT$1400

Author
Bruce L. Brown, Suzanne B. Hendrix, Dawson W. Hedges, Timothy B. Smith

Description 
An insightful guide to understanding and visualizing multivariate statistics using SAS®, STATA®, and SPSS®
Multivariate Analysis for the Biobehavioral and Social Sciences: A Graphical Approach outlines the essential multivariate methods for understanding data in the social and biobehavioral sciences. Using real-world data and the latest software applications, the book addresses the topic in a comprehensible and hands-on manner, making complex mathematical concepts accessible to readers.
The authors promote the importance of clear, well-designed graphics in the scientific process, with visual representations accompanying the presented classical multivariate statistical methods . The book begins with a preparatory review of univariate statistical methods recast in matrix notation, followed by an accessible introduction to matrix algebra. Subsequent chapters explore fundamental multivariate methods and related key concepts, including:

-Factor analysis and related methods
-Multivariate graphics
-Canonical correlation
-Hotelling's T-squared
-Multivariate analysis of variance (MANOVA)
-Multiple regression and the general linear model (GLM)
Each topic is introduced with a research-publication case study that demonstrates its real-world value. Next, the question "how do you do that?" is addressed with a complete, yet simplified, demonstration of the mathematics and concepts of the method. Finally, the authors show how the analysis of the data is performed using Stata®, SAS®, and SPSS®. The discussed approaches are also applicable to a wide variety of modern extensions of multivariate methods as well as modern univariate regression methods. Chapters conclude with conceptual questions about the meaning of each method; computational questions that test the reader's ability to carry out the procedures on simple datasets; and data analysis questions for the use of the discussed software packages.
Multivariate Analysis for the Biobehavioral and Social Sciences is an excellent book for behavioral, health, and social science courses on multivariate statistics at the graduate level. The book also serves as a valuable reference for professionals and researchers in the social, behavioral, and health sciences who would like to learn more about multivariate analysis and its relevant applications. 

Table of Contents
1 OVERVIEW OF MULTIVARIATE AND REGRESSION METHODS 1
2 THE SEVEN HABITS OF HIGHLY EFFECTIVE QUANTS: A REVIEW OF ELEMENTARY STATISTICS USING MATRIX ALGEBRA 20
3 FUNDAMENTALS OF MATRIX ALGEBRA 88
4 FACTOR ANALYSIS AND RELATED METHODS: QUINTESSENTIALLY MULTIVARIATE 139
5 MULTIVARIATE GRAPHICS 227
6 CANONICAL CORRELATION: THE UNDERUSED METHOD 283
7 HOTELLING’S T 2 AS THE SIMPLEST CASE OF MULTIVARIATE INFERENCE 333
8 MULTIVARIATE ANALYSIS OF VARIANCE 351
9 MULTIPLE REGRESSION AND THE GENERAL LINEAR MODEL 373

Statistical Reasoning in the Behavioral Science 6/e

ISBN13: 9780470643822｜496 pages｜Hardcover｜©2011｜NT$1450

Author
Bruce M. King, Patrick J. Rosopa, Edward W. Minium

Description
Cited by more than 300 scholars, Statistical Reasoning in the Behavioral Sciences continues to provide streamlined resources and easy-to-understand information on statistics in the behavioral sciences and related fields, including psychology, education, human resources management, and sociology.
The sixth edition includes new information about the use of computers in statistics and offers screenshots of IBM SPSS (formerly SPSS) menus, dialog boxes, and output in selected chapters without sacrificing any of the conceptual logic and the statistical formulas needed to facilitate understanding. The example problems have been updated to reflect more current topics (e.g., text messaging while driving, violence in the media). The latest research and new photos have been integrated throughout the text to make the material more accessible. With these changes, students and professionals in the behavioral sciences will develop an understanding of statistical logic and procedures, the properties of statistical devices, and the importance of the assumptions underlying statistical tools.

Table of Contents

CHAPTER 1 Introduction.
CHAPTER 2 Frequency Distributions, Percentiles, and Percentile Ranks.
CHAPTER 3 Graphic Representation of Frequency Distributions.
CHAPTER 4 Central Tendency.
CHAPTER 5 Variability and Standard (z) Scores.
CHAPTER 6 Standard Scores and the Normal Curve.
CHAPTER 7 Correlation.
CHAPTER 8 Prediction.
CHAPTER 9 Interpretive Aspects of Correlation and Regression.
CHAPTER 10 Probability.
CHAPTER 11 Random Sampling and Sampling Distributions.
CHAPTER 12 Introduction to Statistical Inference: Testing Hypotheses about Single Means (z and t).
CHAPTER 13 Interpreting the Results of Hypothesis Testing: Effect Size, Type I and Type II Errors, and Power.
CHAPTER 14 Testing Hypotheses about the Difference between Two Independent Groups.
CHAPTER 15 Testing for a Difference between Two Dependent (Correlated) Groups.
CHAPTER 16 Inference about Correlation Coefficients.
CHAPTER 17 An Alternative to Hypothesis Testing: Confidence Intervals.
CHAPTER 18 Testing for Differences among Three or More Groups: One-Way Analysis of Variance (and Some Alternatives).
CHAPTER 19 Factorial Analysis of Variance: The Two-Factor Design.
CHAPTER 20 Chi-Square and Inference about Frequencies.
CHAPTER 21 Some (Almost) Assumption-Free Tests.

Numerical Analysis

ISBN13: 9780691146867｜342 pages｜Hardcover｜©2011｜
Author
L. Ridgway Scott

Description
Computational science is fundamentally changing how technological questions are addressed. The design of aircraft, automobiles, and even racing sailboats is now done by computational simulation. The mathematical foundation of this new approach is numerical analysis, which studies algorithms for computing expressions defined with real numbers. Emphasizing the theory behind the computation, this book provides a rigorous and self-contained introduction to numerical analysis and presents the advanced mathematics that underpin industrial software, including complete details that are missing from most textbooks.
Using an inquiry-based learning approach, Numerical Analysis is written in a narrative style, provides historical background, and includes many of the proofs and technical details in exercises. Students will be able to go beyond an elementary understanding of numerical simulation and develop deep insights into the foundations of the subject. They will no longer have to accept the mathematical gaps that exist in current textbooks. For example, both necessary and sufficient conditions for convergence of basic iterative methods are covered, and proofs are given in full generality, not just based on special cases.
The book is accessible to undergraduate mathematics majors as well as computational scientists wanting to learn the foundations of the subject.
-Presents the mathematical foundations of numerical analysis
-Explains the mathematical details behind simulation software
-Introduces many advanced concepts in modern analysis
-Self-contained and mathematically rigorous
-Contains problems and solutions in each chapter
-Excellent follow-up course to Principles of Mathematical Analysis by Rudin

Table of Contents

Chapter 1. Numerical Algorithms 1
Chapter 2. Nonlinear Equations 15
Chapter 3. Linear Systems 35
Chapter 4. Direct Solvers 51
Chapter 5. Vector Spaces 65
Chapter 6. Operators 81
Chapter 7. Nonlinear Systems 97
Chapter 8. Iterative Methods 115
Chapter 9. Conjugate Gradients 133
Chapter 10. Polynomial Interpolation 151
Chapter 11. Chebyshev and Hermite Interpolation 167
Chapter 12. Approximation Theory 183
Chapter 13. Numerical Quadrature 203
Chapter 14. Eigenvalue Problems 225
Chapter 15. Eigenvalue Algorithms 241
Chapter 16. Ordinary Differential Equations 257
Chapter 17. Higher-order ODE Discretization Methods 275
Chapter 18. Floating Point 293
Chapter 19. Notation 309

Sampling 3/e

ISBN13: 9780470402313｜472 pages｜Hardcover｜©2012｜
Author
Steven K. Thompson

Description
Praise for the Second Edition
"This book has never had a competitor. It is the only book that takes a broad approach to sampling . . . any good personal statistics library should include a copy of this book." —Technometrics
"Well-written . . . an excellent book on an important subject. Highly recommended." —Choice
"An ideal reference for scientific researchers and other professionals who use sampling." —Zentralblatt Math
Features new developments in the field combined with all aspects of obtaining, interpreting, and using sample data Sampling provides an up-to-date treatment of both classical and modern sampling design and estimation methods, along with sampling methods for rare, clustered, and hard-to-detect opulations. This Third Edition retains the general organization of the two previous editions, but incorporates xtensive new material—sections, exercises, and examples—throughout. Inside, readers will find all-new approaches to explain the various techniques in the book; new figures to assist in better visualizing and comprehending underlying concepts such as the different sampling strategies; computing notes for sample selection, calculation of estimates, and simulations; and more.
Organized into six sections, the book covers basic sampling, from simple random to unequal probability sampling; the use of auxiliary data with ratio and regression estimation; sufficient data, model, and design in practical sampling; useful designs such as stratified, cluster and systematic, multistage, double and network sampling; detectability methods for elusive populations; spatial sampling; and adaptive sampling designs.
Featuring a broad range of topics, Sampling, Third Edition serves as a valuable reference on useful sampling and estimation methods for researchers in various fields of study, including biostatistics, ecology, and the health sciences. The book is also ideal for courses on statistical sampling at the upper-undergraduate and graduate levels.

Table of Contents
1 Introduction 1
PART I BASIC SAMPLING 9
2 Simple Random Sampling 11
3 Confidence Intervals 39
4 Sample Size 53
5 Estimating Proportions, Ratios, and Subpopulation Means 57
6 Unequal Probability Sampling 67
PART II MAKING THE BEST USE OF SURVEY DATA 91
7 Auxiliary Data and Ratio Estimation 93
8 Regression Estimation 115
9 The Sufficient Statistic in Sampling 125
10 Design and Model 131
PART III SOME USEFUL DESIGNS 139
11 Stratified Sampling 141
12 Cluster and Systematic Sampling 157
13 Multistage Designs 171
14 Double or Two-Phase Sampling 183
PART IV METHODS FOR ELUSIVE AND HARD-TO-DETECT POPULATIONS 199
15 Network Sampling and Link-Tracing Designs 201
16 Detectability and Sampling 215
17 Line and Point Transects 229
18 Capture–Recapture Sampling 263
19 Line-Intercept Sampling 275
PART V SPATIAL SAMPLING 283
20 Spatial Prediction or Kriging 285
21 Spatial Designs 301
22 Plot Shapes and Observational Methods 305
PART VI ADAPTIVE SAMPLING 313
23 Adaptive Sampling Designs 315
24 Adaptive Cluster Sampling 319
25 Systematic and Strip Adaptive Cluster Sampling 339
26 Stratified Adaptive Cluster Sampling 353

Mind on Statistics 4/e

ISBN13: 9780538733489｜718 pages｜Hardcover｜©2012｜

Author
Jessica M. Utts, Robert F. Heckard

Description

MIND ON STATISTICS helps you develop a conceptual understanding of statistical ideas and shows you how to find meaning in data. The authors--who are committed to changing any preconception you may have about statistics being boring--engage your curiosity with intriguing questions, and explain statistical topics in the context of interesting, useful examples and case studies. You'll develop your statistical intuition by focusing on analyzing data and interpreting results, rather than on mathematical formulation. As a result, you'll build both your statistical literacy and your understanding of statistical methodology.

Table of Contents
1. STATISTICS SUCCESS STORIES AND CAUTIONARY TALES.
2. TURNING DATA INTO INFORMATION.
3. RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES.
4. RELATIONSHIPS BETWEEN CATEGORICAL VARIABLES.
5. SAMPLING: SURVEYS AND HOW TO ASK QUESTIONS.
6. GATHERING USEFUL DATA FOR EXAMINING RELATIONSHIPS.
7. PROBABILITY.
8. RANDOM VARIABLES.
9. UNDERSTANDING SAMPLING DISTRIBUTIONS: STATISTICS AS RANDOM VARIABLES.
10. ESTIMATING PROPORTIONS WITH CONFIDENCE.
12. TESTING HYPOTHESES ABOUT PROPORTIONS.
13. TESTING HYPOTHESES ABOUT MEANS.
14. INFERENCE ABOUT SIMPLE REGRESSION.
15. MORE ABOUT INFERENCE FOR CATEGORICAL VARIABLES.
16. ANALYSIS OF VARIANCE.
17. TURNING INFORMATION INTO WISDOM.

Doing Data Analysis with SPSS® Version 16.0, 4e

ISBN13: 9780495556510｜344 pages｜Paperback｜©2009｜
Supplements: Power point｜Solutions Manual

Author
Robert H. Carver, Stonehill College
Jane Gradwohl Nash, Stonehill College

Description
Now updated for SPSS® 16.0, this book is an excellent supplement to any introductory statistics course. It provides a practical and useful introduction to SPSS 16.0 and enables students to work independently to learn helpful software skills outside of class. By using SPSS to handle complex computations, students can focus on and gain an understanding of the underlying statistical concepts and techniques in the introductory statistics course.

Table of Contents
SESSION 1. A FIRST LOOK AT SPSS 16.0..
SESSION 2. TABLES AND GRAPHS FOR ONE VARIABLE.
SESSION 3. TABLES AND GRAPHS FOR TWO VARIABLES.
SESSION 4. ONE-VARIABLE DESCRIPTIVE STATISTICS.
SESSION 5. TWO-VARIABLE DESCRIPTIVE STATISTICS.
SESSION 6. ELEMENTARY PROBABILITY.
SESSION 7. DISCRETE PROBABILITY DISTRIBUTIONS.
SESSION 8. NORMAL DENSITY FUNCTIO.S.
SESSION 9. SAMPLING DISTRIBUTIONS.
SESSION 10. CONFIDENCE INTERVALS
SESSION 11. ONE-SAMPLE HYPOTHESIS TESTS.
SESSION 12. TWO-SAMPLE HYPOTHESIS TESTS.
SESSION 13. ANALYSIS OF VARIANCE (I).
SESSION 14. ANALYSIS OF VARIANCE (II).
SESSION 15. LINEAR REGRESSION (I).
SESSION 16. LINEAR REGRESSION (II).
SESSION 17. MULTIPLE REGRESSION.
SESSION 18. NONLINEAR MODELS.
SESSION 19. BASIC FORECASTING TECHNIQUES.
SESSION 20. CHI-SQUARE TESTS.
SESSION 21. NONPARAMETRIC TESTS.
SESSION 22. TOOLS FOR QUALITY.
Appendix A. Dataset Descriptions.
Appendix B. Working with Files.
Objectives.
Data Files.
Viewer Document Files.
Converting Other Data Files into SPSS Data Files.
Index.

Introduction to Business Statistics, 6e

ISBN13: 9780324381443｜1020 pages｜Paperback｜©2008｜
Supplements: Instructor's Manual｜Test Bank｜Power point｜Exam View

Author
Ronald M. Weiers, Indiana University of Pennsylvania

Description
Highly praised for its clarity and great examples, Weiers' INTRODUCTION TO BUSINESS STATISTICS, 6E introduces fundamental statistical concepts in a conversational language that connects with today's students. Even those intimidated by statistics quickly discover success with the book's proven learning aids, outstanding illustrations, non-technical terminology, and hundreds of current examples drawn from real-life experiences familiar to students. A continuing case and contemporary applications combine with more than 100 new or revised exercises and problems that reflect the latest changes in business today with an accuracy you can trust. You can easily introduce today's leading statistical software and teach not only how to complete calculations by hand and using Excel, but also how to determine which method is best for a particular task. The book's student-oriented approach is supported with a wealth of resources, including the innovative new CengageNOW online course management and learning system that saves you time while helping students master the statistical skills most important for business success.

Table of Contents
Part 1: Business Statistics : Introduction and Background
1. A Preview of Business Statistics
2. Visual Description of Data
3. Statistical Description of Data
4. Data Collection and Sampling Methods
Part 2: Probability
5. Probability: Review of Basic Concepts
6. Discrete Probability Distributions
7. Continuous Probability Distributions
Part 3: Sampling Distributions and Estimation
8. Sampling Distributions
9. Estimation from Sample Data
Part 4: Hypothesis Testing
10. Hypothesis Tests Involving a Sample Mean or Proportion
11. Hypothesis Tests Involving Two Sample Means or Proportions
12. Analysis of Variance Tests
13. Chi-Square Applications
14. Nonparametric Methods
Part 5: Regression, Model Building, and Time Series
15. Simple Linear Regression and Correlation
16. Multiple Regression and Correlation
17. Model Building
18. Models for Time Series and Forecasting
Part 6: Special Topics
19. Decision Theory
20. Total Quality Management
21. Ethics in Statistical Analysis and Reporting

Introductory Statistics, 6e

ISBN13: 978-0-471-75530-2｜720 pages｜Hardcover｜©2007｜
Supplements: Test Bank｜Power point｜Solutions Manual

Author
Prem S. Mann, Eastern Connecticut State University

Description
Through five previous editions, Introductory Statistics has made statistics both interesting and accessible to a wide and varied audience. The realistic content of its examples and exercises, the clarity and brevity of its presentation, and the soundness of its pedagogical approach have received the highest remarks from both students and instructors. Now this bestseller is available in a new 6th edition.

Table of Contents
Chapter 1. Introduction.
Chapter 2. Organizing and Graphing Data.
Chapter 3. Numerical Descriptive Measures.
Chapter 4. Probability.
Chapter 5. Discrete Random Variables and Their Probability Distributions.
Chapter 6. Continuous Random Variables and the Normal Distribution.
Chapter 7. Sampling Distributions.
Chapter 8. Estimation of the Mean and Proportion.
Chapter 9. Hypothesis Tests About the Mean and Proportion.
Chapter 10. Estimation and Hypothesis Testing: Two Populations.
Chapter 11. Chi-Square Tests.
Chapter 1.2 Analysis of Variance.
Chapter 13 Simple Linear Regression.
Chapter 14. Multiple Regression.
Chapter 15. Nonparametric Methods.
Appendix A. Sample Surveys, Sampling Techniques, and Design of Experiments A1.
Appendix B. Explanation of Data Sets.
Appendix C. Statistical Tables.
Index.

Statistics, 4e

ISBN13: 9780393930436｜650 pages｜Paperback｜©2007｜
Supplements: Instructor's Manual｜Test Bank｜Power point｜Solutions Manual

Author
David Freedman, University of California, Berkeley
Robert Pisani, Boulder, Colorado
Roger Purves, University of California, Berkeley

Description
Statistics teaches students how to think about statistical issues. It is written in clear, everyday language, without the equations that baffle non-mathematical readers. The techniques are all introduced through examples, showing how statistics has helped solve major problems in economics, education, genetics, medicine, physics, political science, psychology, and other fields. --This text refers to an out of print or unavailable edition of this title.

Table of Contents
PART1. DESIGN OF EXPERIMENTS
Ch 1. Controlled Experiments
Ch 2. Observational Studies
PRAT2. DESCRIPTIVE STATISTICS
Ch 3. The Histogram
Ch 4. The Average and the Standard Deviation
Ch 5. The Normal Approximation for Data
Ch 6. Measurement Error
Ch 7. Plotting Points and Lines
PART3. CORRELATION AND REGRESSION
Ch 8. Correlation
Ch 9. More about Correlation
Ch 10. Regression
Ch 11. The R.M.S. Error for Regression
Ch 12. The Regression Line
PART4. PROBABILITY
Ch 13. What Are the Chances?
Ch 14. More about Chance
Ch 15. The Binomial Formula
PART 5. CHANCE VARIABILITY
Ch 16. The Law of Averages
Ch 17. The Expected Value and Standard Error
Ch 18. The Normal Approximation for Probability Histograms
PART6. SAMPLING
Ch 19. Sample Surveys
Ch 20. Chance Errors in Sampling
Ch 21. The Accuracy of Percentages
Ch 22. Measuring Employment and Unemployment
Ch 23. The Accuracy of Averages
PART7. CHANCE MODELS
Ch 24. A Model for Measurement Error
Ch 25. Chance Models in Genetics
PART8. TESTS OF SIGNIFICANCE
Ch 26. Tests of Significance
Ch 27. More Tests for Averages
Ch 28. The Chi-Square Test
Ch 29. A Closer Look at Tests of Significance

The Calculus Lifesaver: All the Tools You Need to Excel at Calculus

ISBN13: 9780691130880｜752 pages｜Paperback｜©2007｜
Supplements: Test Bank｜Power point｜Solutions Manual

Author
Adrian Banner, Princeton University

Description
For many students, calculus can be the most mystifying and frustrating course they will ever take. The Calculus Lifesaver provides students with the essential tools they need not only to learn calculus, but to excel at it.
All of the material in this user-friendly study guide has been proven to get results. The book arose from Adrian Banner's popular calculus review course at Princeton University, which he developed especially for students who are motivated to earn A's but get only average grades on exams. The complete course will be available for free on the Web in a series of videotaped lectures. This study guide works as a supplement to any single-variable calculus course or textbook. Coupled with a selection of exercises, the book can also be used as a textbook in its own right. The style is informal, non-intimidating, and even entertaining, without sacrificing comprehensiveness. The author elaborates standard course material with scores of detailed examples that treat the reader to an "inner monologue"--the train of thought students should be following in order to solve the problem--providing the necessary reasoning as well as the solution. The book's emphasis is on building problem-solving skills. Examples range from easy to difficult and illustrate the in-depth presentation of theory.

Table of Contents
Ch 1: Functions, Graphs, and Lines
Ch 2: Review of Trigonometry
Ch 3: Introduction to Limits
Ch 4: How to Solve Limit Problems Involving Polynomials
Ch 5: Continuity and Differentiability
Ch 6: How to Solve Differentiation Problems
Ch 7: Trig Limits and Derivatives
Ch 8: Implicit Differentiation and Related Rates
Ch 9: Exponentials and Logarithms
Ch 10: Inverse Functions and Inverse Trig Functions
Ch11: The Derivative and Graphs
Ch 12: Sketching Graphs
Ch13: Optimization and Linearization
Ch 14: L'Hôpital's Rule and Overview of Limits
Ch 15: Introduction to Integration
Ch 16: Definite Integrals
Ch 17: The Fundamental Theorems of Calculus
Ch 18: Techniques of Integration, Part One
Ch 19: Techniques of Integration, Part Two
Ch 20: Improper Integrals: Basic Concepts
Ch 21: Improper Integrals: How to Solve Problems
Ch 22: Sequences and Series: Basic Concepts
Ch 23: How to Solve Series Problems
Ch 24: Taylor Polynomials, Taylor Series, and Power Series
Ch 25: How to Solve Estimation Problems
Ch 26: Taylor and Power Series: How to Solve Problems
Ch 27: Parametric Equations and Polar Coordinates
Ch 28: Complex Numbers
Ch 29: Volumes, Arc Lengths, and Surface Areas
Ch 30: Differential Equations
Appendix A Limits and Proofs
Appendix B Estimating Integrals
List of Symbols
Index

Doing Data Analysis with SPSS®: Version 14.0, 3e

ISBN13: 9780495107934｜384 pages｜Paperback｜©2006｜


Author
Robert H. Carver - Stonehill College

Description
DOING DATA ANALYSIS WITH SPSS VERSION 14.0 (WITH CD-ROM) is the perfect supplement to help you succed in your statistic course! This innovative guide offers practical instruction to SPSS 14.0, helping you learn helpful software skills. By using SPSS to handle complex computations, you can focus on the underlying statistical concepts and techniques in the introductory statistics course.

Table of Contents ( Detail )
1. A FIRST LOOK AT SPSS 14.0.
2. TABLES AND GRAPHS FOR ONE VARIABLE.
3. TABLES AND GRAPHS FOR TWO VARIABLES.
4. ONE-VARIABLE DESCRIPTIVE STATISTICS.
5. TWO-VARIABLE DESCRIPTIVE STATISTICS.
6. ELEMENTARY PROBABILITY.
7. DISCRETE PROBABILITY DISTRIBUTIONS.
8. PROBABILITY DENSITY FUNCTIONS.
9. SAMPLING DISTRIBUTIONS.
10. CONFIDENCE INTERVALS.
11. ONE-SAMPLE HYPOTHESIS TESTS.
12. TWO-SAMPLE HYPOTHESIS TESTS.
13. ANALYSIS OF VARIANCE (I).
14. ANALYSIS OF VARIANCE (II).
15. LINEAR REGRESSION (I).
16. LINEAR REGRESSION (II).
17. MULTIPLE REGRESSION.
18. NON-LINEAR MODELS.
19. BASIC FORECASTING TECHNIQUES.
20. CHI-SQUARE TESTS.
21. NONPARAMETRIC TESTS.
22. TOOLS FOR QUALITY.
Appendix A: Dataset Descriptions.
Appendix B: Working With Files.