Introductory activity pages help students with counting and place value. Dot-to-Dot puzzles, riddles, and other games add fun to the practical activities. These pages may be assigned as a class lesson, individual seat work, or homework activities.
This book helps students learn place value and related concepts. Practice pages include motivational activities, riddles, and pictures. An answer key is included. These pages may be assigned as class lessons, individual work, or homework activities.
This book helps students learn about many types of tables and graphs. Practice includes constructing tables, charts, stem-and-leaf plots, picture graphs, circle graphs, bar graphs and line graphs. These pages may be assigned as a class lesson, individual seat work, or homework activities.
Travel through the zoo and learn about zoo animals through rhyme. Count up all of the animals you have seen. Includes section "For Creative Minds" with cards and activities.
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
Offers a definition of differentiated instruction, and provides principles and strategies designed to help teachers create learning environments that address the different learning styles, interests, and readiness levels found in a typical mixed-ability classroom.
For decades, the highest level of poker have been dominated by players who have learned the game by playing it, road gamblers' who have cultivated intuition for the game and are adept at reading other players' hands from betting patterns and physical tells. Over the last five to ten years, a whole new breed has risen to prominence within the poker community. Applying the tools of computer science and mathematics to poker and sharing the information across the Internet, these players have challenged many of the assumptions that underlay traditional approaches to the game.'