Sharpen algebra students' critical-thinking skills with these brain-teasing activities. Parents, students, and teachers will love these fun challenges, puzzles, and logical thinking pages. They're a great way to practice higher-order thinking skills.

Covers a wide variety of topics including understanding patterns; using algebraic symbols; solving problems with graphs, tables, and equations; and more. Works as an end-of-class activity, extra-credit, or at-home assignment. Includes teaching suggestions, skills matrix, and answer section.

An engaging introduction to data science that emphasizes critical thinking over statistical techniques An introduction to data science or statistics shouldn’t involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative textbooks emphasize. In contrast, Thinking Clearly with Data focuses, first and foremost, on critical thinking and conceptual understanding in order to teach students how to be better consumers and analysts of the kinds of quantitative information and arguments that they will encounter throughout their lives. Among much else, the book teaches how to assess whether an observed relationship in data reflects a genuine relationship in the world and, if so, whether it is causal; how to make the most informative comparisons for answering questions; what questions to ask others who are making arguments using quantitative evidence; which statistics are particularly informative or misleading; how quantitative evidence should and shouldn’t influence decision-making; and how to make better decisions by using moral values as well as data. Filled with real-world examples, the book shows how its thinking tools apply to problems in a wide variety of subjects, including elections, civil conflict, crime, terrorism, financial crises, health care, sports, music, and space travel. Above all else, Thinking Clearly with Data demonstrates why, despite the many benefits of our data-driven age, data can never be a substitute for thinking. An ideal textbook for introductory quantitative methods courses in data science, statistics, political science, economics, psychology, sociology, public policy, and other fields Introduces the basic toolkit of data analysis—including sampling, hypothesis testing, Bayesian inference, regression, experiments, instrumental variables, differences in differences, and regression discontinuity Uses real-world examples and data from a wide variety of subjects Includes practice questions and data exercises

If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff’s lively and engaging primer clarifies the basic principles of statistics and explains how they’re used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.

Mathematics teachers and school library media specialists will find this book a valuable resource for using the Web to promote critical thinking in the high school mathematics classroom. It is filled with instructional strategies and an expansive set of activities that cover a broad array of mathematics topics spanning from prealgebra through calculus. Teachers using the questions and activities in this book will help their students meet the standards set forth by the National Council for Teachers of Mathematics. Various types of mathematics related sources on the Internet are outlined within this book, including data and simulations related to real world situations such as saving funds and computing interest earned for college, purchasing a home, or decoding train and plane schedules. The author develops a framework for critical thinking in mathematics and helps teachers create a supportive classroom environment. Each activity highlights a web source, the mathematics topics involved, the appropriate grade levels of study, possible student investigations, and related web sources for continued exploration, promoting a student-centered inquiry.

The team of teachers and mathematicians who created Eureka Math believe that it's not enough for students to know the process for solving a problem; they need to know why that process works. That's why students who learn math with Eureka can solve real-world problems, even those they have never encountered before. The Study Guides are a companion to the Eureka Math program, whether you use it online or in print. The guides collect the key components of the curriculum for each grade in a single volume. They also unpack the standards in detail so that anyone even non-Eureka users can benefit. The guides are particularly helpful for teachers or trainers seeking to undertake or lead a meaningful study of the grade level content in a way that highlights the coherence between modules and topics. We're here to make sure you succeed with an ever-growing library of resources. Take advantage of the full set of Study Guides available for each grade, PK-12, or materials at eureka-math.org such as free implementation and pacing guides, material lists, parent resources, and more.