"Family isn't always your relatives. It's the ones who accept you for who you are. The ones who would do anything to see you smile, and who love you no matter what." -Unknown Teachers do so much more than just teach academics. They build a sense of community within their classrooms, creating a home away from home where they make their students feel safe, included, and loved. With its heartfelt message and colorfully whimsical illustrations, "Our Class is a Family" is a book that will help build and strengthen that class community. Kids learn that their classroom is a place where it's safe to be themselves, it's okay to make mistakes, and it's important to be a friend to others. When hearing this story being read aloud by their teacher, students are sure to feel like they are part of a special family. And currently, during such an unprecedented time when many teachers and students are not physically IN the classroom due to COVID-19 school closures, it's more important than it's ever been to give kids the message that their class is a family. Even at a distance, they still stick together.

Create a pathway to equity by detracking mathematics The tracked mathematics system has been operating in US schools for decades. However, research demonstrates negative effects on subgroups of students by keeping them in a single math track, thereby denying them access to rigorous coursework needed for college and career readiness. The journey to change this involves confronting some long-standing beliefs and structures in education. When supported with the right structures, instructional shifts, coalition building, and educator training and support, the detracking of mathematics courses can be a primary pathway to equity. The ultimate goal is to increase more students’ access to and achievement in higher levels of mathematics learning–especially for students who are historically marginalized. Based on the stories and lessons learned from the San Francisco Unified School District educators who have talked the talk and walked the walk, this book provides a model for all those involved in taking on detracking efforts from policymakers and school administrators, to math coaches and teachers. By sharing stories of real-world examples, lessons learned, and prompts to provoke discussion about your own context, the book walks you through: Designing and gaining support for a policy of detracked math courses Implementing the policy through practical shifts in scheduling, curriculum, professional development, and coaching Supporting and improving the policy through continuous research, monitoring, and maintenance. This book offers the big ideas that help you in your own unique journey to advance equity in your school or district’s mathematics education and also provides practical information to help students in a detracked system thrive.

CK-12's Probability and Statistics - Basic (A Full Course) is an introduction to theoretical probability and data organization. Its 8 chapters cover the following topics: Independent and Dependent Events, Conditional Probability, Discrete Random Variables, Probability Distributions, Measures of Central Tendency, Normal Distribution, Distributions of Data, and Organizing and Displaying Data for Comparison.

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.