Alan C. Elliott

SAS ESSENTIALS Valuable step-by-step introduction to using SAS® statistical software as a foundational approach to data analysis and interpretation Presenting a straightforward introduction from the ground up, SAS® Essentials illustrates SAS using hands-on learning techniques and numerous real-world examples; keeping different experience levels in mind, the highly qualified author team has developed the book over 25 years of teaching introductory SAS courses. This book introduces data manipulation, statistical techniques, and the SAS programming language, including SAS macros, reporting results in tables, and factor analysis, as well as sections on character functions, variable manipulation, and merging, appending, and updating files. It features self-contained chapters to enhance the learning process and includes programming approaches for the latest version of the SAS platform. The Third Edition has been updated with expanded examples, a new chapter introducing PROC SQL as well as new end-of-chapter exercises. The Third Edition also includes a companion website with data sets, additional code, notes on SAS programming, functions, ODS, PROC SQL, and SAS Arrays, along with solutions for instructors. Specific sample topics covered in SAS® Essentials include: Getting data into SAS, reading, writing, and importing data, preparing data for analysis, preparing to use SAS procedures, and controlling output using ODS Techniques for creating, editing, and debugging SAS programs, cleaning up messy data sets, and manipulating data using character, time, and numeric functions Other essential computational skills that are utilized by business, government, and organizations alike, and DATA step for data management Using PROC to analyze data, including evaluating quantitative data, analyzing counts and tables, comparing means using T-Tests, correlation and regression, and analysis of variance, nonparametric analysis, logistic regression, factor analysis, and creating custom graphs and reports. SAS® Essentials is a fundamental study resource for professionals preparing for the SAS Base Certification Exam, as well as an ideal textbook for courses in statistics, data analytics, applied SAS programming, and statistical computer applications.

Rescuing JFK is the story of the PT-109's dramatic rescue in World War II - told from the perspective of the Solomon Islands Scouts who saved the crew. In this story, future president John F. Kennedy's boat (PT-109) is rammed by a Japanese destroyer and sunk during World War II. Two young Solomon Islanders, Scouts for the Australian Royal Navy's Coastwatchers (Aaron Kumana and Biuku Gasa) rescue the crew in a daring adventure that shaped Kennedy's (and America's) future. This story showcases the bravery and determination of the Solomon Islands Scouts and the grit, resilience, and courage of John F. Kennedy and his crew. The primary material for the story comes from oral histories by the Solomon Islander rescuers who were instrumental in locating JFK and the PT-109 crew, plus information from their families and acquaintances. Historian and co-author Annie Kwai brings a fresh and culturally accurate perspective to this book. Her passion for Pacific History and lecturing on the history of the Solomon Islands and Papua New Guinea makes her uniquely qualified to tell this story. In addition, Alan's experience in having over 20+ books published, including several narrative histories and biographies, helps bring the story to life.

Virtually any random process developing chronologically can be viewed as a time series. In economics closing prices of stocks, the cost of money, the jobless rate, and retail sales are just a few examples of many. Developed from course notes and extensively classroom-tested, Applied Time Series Analysis with R, Second Edition includes examples across a variety of fields, develops theory, and provides an R-based software package to aid in addressing time series problems in a broad spectrum of fields. The material is organized in an optimal format for graduate students in statistics as well as in the natural and social sciences to learn to use and understand the tools of applied time series analysis.Features Gives readers the ability to actually solve significant real-world problems Addresses many types of nonstationary time series and cutting-edge methodologies Promotes understanding of the data and associated models rather than viewing it as the output of a "black box" Provides the R package tswge available on CRAN which contains functions and over 100 real and simulated data sets to accompany the book. Extensive help regarding the use of tswge functions is provided in appendices and on an associated website. Over 150 exercises and extensive support for instructors The second edition includes additional real-data examples, uses R-based code that helps students easily analyze data, generate realizations from models, and explore the associated characteristics. It also adds discussion of new advances in the analysis of long memory data and data with time-varying frequencies (TVF).

A perfect supplement for an introductory statics course. Quick Guide to IBM® SPSS®: Statistical Analysis With Step-by-Step Examples gives students the extra guidance with SPSS they need without taking up valuable in-class time. A practical, accessible guide for using software while doing data analysis in the social sciences, students can learn SPSS on their own, allowing instructors to focus on the concepts and calculations in their lectures, rather than SPSS tutorials. Designed to work across disciplines, the authors have provided a number of SPSS "step-by-step" examples in chapters showing the user how to plan a study, prepare data for analysis, perform the analysis and interpret the output from SPSS. The new Third Edition covers IBM® SPSS® version 25, includes a new section on Syntax, and all chapters have been updated to reflect current menu options along with many SPSS screenshots, making the process much simpler for the user. In addition, helpful hints and insights are provided through the features "Tips and Caveats" and "Sidebars."

Virtually any random process developing chronologically can be viewed as a time series. In economics closing prices of stocks, the cost of money, the jobless rate, and retail sales are just a few examples of many. Developed from course notes and extensively classroom-tested, Applied Time Series Analysis with R, Second Edition includes examples across a variety of fields, develops theory, and provides an R-based software package to aid in addressing time series problems in a broad spectrum of fields. The material is organized in an optimal format for graduate students in statistics as well as in the natural and social sciences to learn to use and understand the tools of applied time series analysis.Features Gives readers the ability to actually solve significant real-world problems Addresses many types of nonstationary time series and cutting-edge methodologies Promotes understanding of the data and associated models rather than viewing it as the output of a "black box" Provides the R package tswge available on CRAN which contains functions and over 100 real and simulated data sets to accompany the book. Extensive help regarding the use of tswge functions is provided in appendices and on an associated website. Over 150 exercises and extensive support for instructorsThe second edition includes additional real-data examples, uses R-based code that helps students easily analyze data, generate realizations from models, and explore the associated characteristics. It also adds discussion of new advances in the analysis of long memory data and data with time-varying frequencies (TVF).

Texas Ingenuity: Lone Star Inventions, Inventors & Innovators is a collection of informative, and sometimes quirky, stories about Lone Star innovators, inventors and inventions. Each story emphasizes a Texas connection and shows how Texas ingenuity, determination or sheer dumb luck made the person or product famous and successful. Every Texan and Texas visitor hankering for a chuckle and interesting tidbits of history will enjoy reading Texas Ingenuity. Pull up a chair and enjoy stories about: The I s of Texas Inventions, Inventors & Innovators Tasty Texas From Cattle Drive to Casual Dining Texas Entertainment Big Stars from the Lone Star State Texas Sports Ready, Set, Innovate "

Imagination is bigger in Texas, too. This collection of inspiring and often quirky stories highlights dozens of examples of innovation from Lone Star history. The Hamill brothers devised a better oil well to reach gushers at Spindletop. The first Neiman-Marcus store opened in Dallas in 1907, revolutionizing the retail fashion world. Astroturf emerged at the Astrodome in 1966. Fritos and corn dogs are just two ubiquitous snack foods claimed as Texan originals. Houston native, and civil rights activist, Congresswoman Barbara Jordan rose to national prominence as a voice of unity during the Watergate scandal. Author Alan C. Elliott details these and many more lessons in success in Texas Ingenuity.

The updated Second Edition of Alan C. Elliott and Wayne A. Woodward's "cut to the chase" IBM SPSS guide quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision making in a wide variety of disciplines. This one-stop reference provides succinct guidelines for performing an analysis using SPSS software, avoiding pitfalls, interpreting results, and reporting outcomes. Written from a practical perspective, IBM SPSS by Example, Second Edition provides a wealth of information-from assumptions and design to computation, interpretation, and presentation of results-to help users save time, money, and frustration.New to this edition:Step-by-step SPSS instructions have been integrated into every example.An all-new chapter describes the three methods used by SPSS to create graphics.A new Chapter 10 on Factor Analysis has been added.Examples in every chapter have been enhanced with added discussion and more detail.Additional screen shots and a redesigned format make the book easier to read and information easier to locate.All examples have been updated to reflect features in the latest version of SPSS.

This book focuses on the historic ramifications of a handful of essential events that shaped the American past. It describes the causes of a select number of epoch-making events and examines the short- and long-term consequences of these critical turning point moments.

From stories about Irving Berlin to Oprah Winfrey, this collection contains 366 inspirational five-minute readings - one for each day of the year. Included are motivational stories of successful people such as Steven Spielberg, Bill Gates, Thomas Edison, and Wilma Rudolph.