Canquiz

The Chinese government says that a Buddhist monk from Kabul, Afghanistan discovered Canada in 458 A.D. Yes, it's true! Take the CanQuiz! CanQuiz is a compilation of brain teasers, quizzes, intriguing questions, incredible facts, and captivating photographs that will test your knowledge, stretch your mind, challenge your brain, and make you laugh. Give your brain a major workout in the categories of sports, politics, the arts, famous Canadians, history, and more. What do you know about events in Canadian history? Canadian symbols? The geography of this vast land? Our military? Canadian inventors? You may know more than you think! Or you may have a lot to learn… Take the challenge: Q: Why did Wayne Gretzky choose #99 for his sweater? A: The Great One wore #9 as a junior because it was the number of his idol Gordie Howe. When he moved up to the Sault Ste. Marie Greyhounds in 1977-78, Brian Gualazzi was already wearing #9, so Gretzky tried #14 and #19 before settling on #99.

"Through case studies, practical examples and in-depth analysis of successful programs, this book provides a roadmap for creating a more welcoming environment for minority students and faculty, revamping traditional teaching methods to accomodate diverse learning styles, developing and teaching a culturally competetent nursing curriculum, and removing cultural and linguistic barriers to success...this landmark book is an invaluable resource and absolutely essential reading." --Minority Nurse Magazine " Readers will learnÖ more about how to create a dynamic, inclusive and challenging learning environment that remains true to the purpose of graduating highly qualified nurses to meet the need of a diverse multiracial, multicultural, multilingual society." --Gloria Smith, RN, MPH, PhD, FAAN, FRCN Bosher and Pharris's provocative and timely volume addresses the critical need for nursing educational systems to graduate more culturally diverse nurses. This vital resource will help nursing educators critique and redesign their curricular, pedagogical, and structural systems to address this need for cultural inclusion within nursing education. Highlights of this book: Addresses barriers to success for nursing students from culturally diverse backgrounds in the U.S., U.K., Canada, Australia, and New Zealand Features pedagogical strategies to help linguistically diverse students succeed in clinical settings Provides assessment practices that eliminate cultural and linguistic biases Presents initiatives for developing the leadership skills of culturally diverse students Contains detailed case studies of multicultural nurses and students Includes recommendations and questions for dialogue at the end of each chapter With this book, educators and administrators can begin to forge through the obstacles institutionalized in their nursing educational systems, and ultimately, see a more culturally inclusive educational environment.

Your students may recognize words like determine, analyze, and distinguish, but do they understand these words well enough to quickly and completely answer a standardized test question? For example, can they respond to a question that says "determine the point of view of John Adams in his 'Letter on Thomas Jefferson' and analyze how he distinguishes his position from an alternative approach articulated by Thomas Jefferson"? Students from kindergarten to 12th grade can learn to compare and contrast, to describe and explain, if they are taught these words explicitly. Marilee Sprenger has curated a list of the critical words students must know to be successful with the Common Core State Standards and any other standardized assessment they encounter. Fun strategies such as jingles, movements, and graphic organizers will engage students and make learning these critical words enjoyable and effective. Learning the critical vocabulary will help your students with testing and college and career readiness, and will equip them with confidence in reading, writing, and speaking. Marilee Sprenger is also the author of How to Teach So Students Remember, Learning and Memory, and Brain-Based Teaching in the Digital Age.

The new edition of An Introduction to Statistical Concepts is designed to help students really understand statistical concepts, the situations in which they can be used, and how to apply them to data. Hahs-Vaughn and Lomax discuss the most popular, along with many of the lesser-known, procedures and models, whilst also exploring nonparametric procedures used when standard assumptions are violated. They provide in-depth coverage of testing assumptions and highlight several online tools for computing statistics (e.g., effect sizes and their confidence intervals and power). This comprehensive, flexible, and accessible text includes a new chapter on mediation and moderation; expanded coverage of effect sizes; and discussions of sensitivity, specificity, false positive, and false negative, along with using the receiver operator characteristic (ROC) curve. In addition to instructions and screen shots for using SPSS, new to this edition is annotated script for using R. This book, noted for its crystal-clear explanations, and its inclusion of only the most crucial equations, is an invaluable resource for students undertaking a course in statistics in any number of social science and behavioral disciplines—from education, business, communication, exercise science, psychology, sociology and more.

Statistical Concepts—A First Course presents the first 10 chapters from An Introduction to Statistical Concepts, Fourth Edition. Designed for first and lower-level statistics courses, this book communicates a conceptual, intuitive understanding of statistics that does not assume extensive or recent training in mathematics and only requires a rudimentary knowledge of algebra. Covering the most basic statistical concepts, this book is designed to help readers really understand statistical concepts, in what situations they can be applied, and how to apply them to data. Specifically, the text covers basic descriptive statistics, including ways of representing data graphically, statistical measures that describe a set of data, the normal distribution and other types of standard scores, and an introduction to probability and sampling. The remainder of the text covers various inferential tests, including those involving tests of means (e.g., t tests), proportions, variances, and correlations. Providing accessible and comprehensive coverage of topics suitable for an undergraduate or graduate course in statistics, this book is an invaluable resource for students undertaking an introductory course in statistics in any number of social science and behavioral science disciplines.