The pets all agreed, they couldn't invite Fish to the Dance Party. It was too dangerous for him, and besides, he wouldn't have any fun. But Fish has other plans. A delightful story about a group of well-meaning pets who's lack of understanding leads them to exclude a friend from their plans. You Can't Invite a Fish to a Dance Party shows that everyone can be part of the fun, no matter their circumstances.
The Baileys' have adopted Lulu, a foster child one year younger than the triplets. She had been living with foster parents, the Whyzalooskies, who were sloppy sleaze bags in every way, so she was removed from the home because the conditions were so bad there and placed for adoption. Consequently, when the Baileys' brought her home she had no manners, which the Baileys' were able to teach with Grammy's ripsnortin' plan in ""The Etiquette Fix". Now they realize she also has horrible hygiene, which desperately needs fixing.
Whether you need full-text search or real-time analytics of structured data—or both—the Elasticsearch distributed search engine is an ideal way to put your data to work. This practical guide not only shows you how to search, analyze, and explore data with Elasticsearch, but also helps you deal with the complexities of human language, geolocation, and relationships. If you’re a newcomer to both search and distributed systems, you’ll quickly learn how to integrate Elasticsearch into your application. More experienced users will pick up lots of advanced techniques. Throughout the book, you’ll follow a problem-based approach to learn why, when, and how to use Elasticsearch features. Understand how Elasticsearch interprets data in your documents Index and query your data to take advantage of search concepts such as relevance and word proximity Handle human language through the effective use of analyzers and queries Summarize and group data to show overall trends, with aggregations and analytics Use geo-points and geo-shapes—Elasticsearch’s approaches to geolocation Model your data to take advantage of Elasticsearch’s horizontal scalability Learn how to configure and monitor your cluster in production
Volumes in Writing Spaces: Readings on Writing offer multiple perspectives on a wide-range of topics about writing, much like the model made famous by Wendy Bishop’s “The Subject Is . . .” series. In each chapter, authors present their unique views, insights, and strategies for writing by addressing the undergraduate reader directly. Drawing on their own experiences, these teachers-as-writers invite students to join in the larger conversation about developing nearly every aspect of craft of writing. Consequently, each essay functions as a standalone text that can easily complement other selected readings in writing or writing-intensive courses across the disciplines at any level. Topics in Volume 1 of the series include academic writing, how to interpret writing assignments, motives for writing, rhetorical analysis, revision, invention, writing centers, argumentation, narrative, reflective writing, Wikipedia, patchwriting, collaboration, and genres.
"Tiger-Lilies is actually a somewhat autobiographical book. In it, Lanier analyzes the relationship between a Northerner and a Southerner throughout the Civil War. As a Southerner who had fought for the Confederate army, Lanier had experienced the war firsthand, both on the battlefield and as a prisoner of war. These experiences are recognizable in the battle scenes especially, which are considered some of the most realistic representations of Civil War combat in literature. Ultimately, Tiger-Lilies can be interpreted as an anti-war novel and one of Lanier's less successful endeavors in the course of his career."--The History Engine
San Francisco is the endgame of gentrification, where racialized displacement means that the Black population of the city hovers at just over 3 percent. The Robeson Justice Academy opened to serve the few remaining low-income neighborhoods of the city, with the mission of offering liberatory, social justice--themed education to youth of color. While it features a progressive curriculum including Frantz Fanon and Audre Lorde, the majority Latinx school also has the district's highest suspension rates for Black students. In Progressive Dystopia Savannah Shange explores the potential for reconciling the school's marginalization of Black students with its sincere pursuit of multiracial uplift and solidarity. Drawing on ethnographic fieldwork and six years of experience teaching at the school, Shange outlines how the school fails its students and the community because it operates within a space predicated on antiblackness. Seeing San Francisco as a social laboratory for how Black communities survive the end of their worlds, Shange argues for abolition over revolution or progressive reform as the needed path toward Black freedom.
This edition is a reprint of the second edition published by Cengage Learning, Inc. Reprinted with permission. What is the unemployment rate? How many adults have high blood pressure? What is the total area of land planted with soybeans? Sampling: Design and Analysis tells you how to design and analyze surveys to answer these and other questions. This authoritative text, used as a standard reference by numerous survey organizations, teaches sampling using real data sets from social sciences, public opinion research, medicine, public health, economics, agriculture, ecology, and other fields. The book is accessible to students from a wide range of statistical backgrounds. By appropriate choice of sections, it can be used for a graduate class for statistics students or for a class with students from business, sociology, psychology, or biology. Readers should be familiar with concepts from an introductory statistics class including linear regression; optional sections contain the statistical theory, for readers who have studied mathematical statistics. Distinctive features include: More than 450 exercises. In each chapter, Introductory Exercises develop skills, Working with Data Exercises give practice with data from surveys, Working with Theory Exercises allow students to investigate statistical properties of estimators, and Projects and Activities Exercises integrate concepts. A solutions manual is available. An emphasis on survey design. Coverage of simple random, stratified, and cluster sampling; ratio estimation; constructing survey weights; jackknife and bootstrap; nonresponse; chi-squared tests and regression analysis. Graphing data from surveys. Computer code using SAS® software. Online supplements containing data sets, computer programs, and additional material. Sharon Lohr, the author of Measuring Crime: Behind the Statistics, has published widely about survey sampling and statistical methods for education, public policy, law, and crime. She has been recognized as Fellow of the American Statistical Association, elected member of the International Statistical Institute, and recipient of the Gertrude M. Cox Statistics Award and the Deming Lecturer Award. Formerly Dean’s Distinguished Professor of Statistics at Arizona State University and a Vice President at Westat, she is now a freelance statistical consultant and writer. Visit her website at www.sharonlohr.com.
