Author:
Publisher:
ISBN: 9780873534840
Category : Mathematics
Languages : en
Pages : 20

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Book Description
This easy-to-read summary is an excellent tool for introducing others to the messages contained in Principles and Standards.

Author: Clarice Simmons
Publisher: Nicholas Horne
ISBN:
Category : Mathematics
Languages : en
Pages : 146

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Book Description
Unlock the secrets of math with "Math Adventures: Unlocking Concepts with Puzzles and Play." This engaging book takes you on a journey through the world of numbers, from basic concepts to advanced applications. Dive into the building blocks of math, mastering counting, place value, and patterns. Explore the power of addition, subtraction, multiplication, and division, and learn to confidently solve problems using these essential operations. Journey into the fascinating world of fractions and decimals, gaining a deeper understanding of their roles in everyday life. Uncover the mysteries of geometry, delving into shapes, angles, and measurements. Master the art of measurement, applying your knowledge to real-world situations. Explore patterns and algebra, gaining the ability to solve for unknowns and make predictions. Discover the world of probability and statistics, learning to collect, organize, and analyze data. Venture into different number systems, from Roman numerals to binary code, expanding your mathematical horizons. Hone your mental math skills with powerful strategies and shortcuts, enabling you to perform calculations quickly and efficiently. The book provides a wealth of real-world applications, showing how math plays a vital role in budgeting, science, technology, art, and design. Embrace the fun side of math with engaging games, puzzles, and challenges that will challenge your mind and inspire you to think creatively. This comprehensive guide makes learning math fun and accessible for everyone. Unlock your potential and embrace the adventure of math with "Math Adventures: Unlocking Concepts with Puzzles and Play."

Author: Mike Goldsmith
Publisher:
ISBN: 9781627951449
Category :
Languages : en
Pages : 184

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Book Description
One of the hardest questions that mathematics teachers have to answer is "Why?" Schoolroom sums are crucial in learning the awesome power of mathematics, but they are often a world away from how the knowledge is applied and where it came from. Inside Mathematics: Probability & Statistics is there to fill that gap. What are the chances of that? Mathematics can solve that mystery for you using a set of ideas that grew out of an aristocratic gambler's bafflement at betting on complex dice games. In stepped the mathematical giants of Pierre de Fermat and Blaise Pascal, who worked together to create what is now called probability theory. Gamblers need not rejoice in this powerful theory; it shows that the casino always wins in the end. The ideas of probability have since found many better uses elsewhere. For example, they are at work in the mathematics that describes the quantum world and drives the push for artificial intelligence. The mathematics of chance is involved in understanding systems where a myriad data points combine. Statistics is the branch of mathematics that wrangles that data and tames it into meaningful knowledge. It then allows us to get ever better at modeling complex phenomena, from the formation of stars and the path of a hurricane to the rise and fall of the markets. Inside Mathematics: Probability & Statistics introduces the reader to these awesome mathematical powers by telling the stories of who figured them out. They include a cavalry officer hoping to reduce injuries from horse kicks, Charles Darwin's cousin who discovered that we make the best guesses when we work together, and computers that are built to program themselves. Written to engage and enthuse young people, Inside Mathematics shows readers how the ideas of long-dead geniuses have ended up in their homework assignments. Probability & Statistics: How Mathematics Can Predict the Future changes the question from "Why?" to "What's next?" Arranged chronologically to show how ideas in mathematics evolved.

Author: Judah L. Schwartz
Publisher: Teachers College Press
ISBN: 0807753203
Category : Education
Languages : en
Pages : 169

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Book Description
Two experienced educators present a fresh approach to mathematics learning in the middle grades with the transition from arithmetic to algebra. The authors provide a collection of balanced, multi-dimensional assessment tasks designed to evaluate students' ability to work with mathematical objects and perform mathematical actions. --from publisher description

Author: Larry Wasserman
Publisher: Springer Science & Business Media
ISBN: 0387217363
Category : Mathematics
Languages : en
Pages : 446

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Book Description
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.

Author: Norman Matloff
Publisher: CRC Press
ISBN: 0429687117
Category : Business & Economics
Languages : en
Pages : 289

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Book Description
Probability and Statistics for Data Science: Math + R + Data covers "math stat"—distributions, expected value, estimation etc.—but takes the phrase "Data Science" in the title quite seriously: * Real datasets are used extensively. * All data analysis is supported by R coding. * Includes many Data Science applications, such as PCA, mixture distributions, random graph models, Hidden Markov models, linear and logistic regression, and neural networks. * Leads the student to think critically about the "how" and "why" of statistics, and to "see the big picture." * Not "theorem/proof"-oriented, but concepts and models are stated in a mathematically precise manner. Prerequisites are calculus, some matrix algebra, and some experience in programming. Norman Matloff is a professor of computer science at the University of California, Davis, and was formerly a statistics professor there. He is on the editorial boards of the Journal of Statistical Software and The R Journal. His book Statistical Regression and Classification: From Linear Models to Machine Learning was the recipient of the Ziegel Award for the best book reviewed in Technometrics in 2017. He is a recipient of his university's Distinguished Teaching Award.

Author: Britannica Educational Publishing
Publisher: Britannica Educational Publishing
ISBN: 1622755340
Category : Juvenile Nonfiction
Languages : en
Pages : 74

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Book Description
This book offers a broad collection of the principles of statistics and probability in a nice, compact format for the middle school and early high school student. Interesting text and background bring the principles to life. The topics are often enriched by references to famous mathematicians who discovered these principles and also snapshots of these principles at work in our real world. Seldom does a math book bring together the story of so many of these topics in such an accessible and readable text.

Author: Great Minds
Publisher: John Wiley & Sons
ISBN: 1119314801
Category : Education
Languages : en
Pages : 247

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Book Description
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.

Author: Daren Starnes
Publisher: Macmillan Higher Education
ISBN: 131912013X
Category : Mathematics
Languages : en
Pages : 1539

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Book Description
Statistics and Probability with Applications, Third Edition is the only introductory statistics text written by high school teachers for high school teachers and students. Daren Starnes, Josh Tabor, and the extended team of contributors bring their in-depth understanding of statistics and the challenges faced by high school students and teachers to development of the text and its accompanying suite of print and interactive resources for learning and instruction. A complete re-envisioning of the authors’ Statistics Through Applications, this new text covers the core content for the course in a series of brief, manageable lessons, making it easy for students and teachers to stay on pace. Throughout, new pedagogical tools and lively real-life examples help captivate students and prepare them to use statistics in college courses and in any career.

Author: Robert Kissell
Publisher: Academic Press
ISBN: 0128052937
Category : Mathematics
Languages : en
Pages : 354

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Book Description
Optimal Sports Math, Statistics, and Fantasy provides the sports community—students, professionals, and casual sports fans—with the essential mathematics and statistics required to objectively analyze sports teams, evaluate player performance, and predict game outcomes. These techniques can also be applied to fantasy sports competitions. Readers will learn how to: - Accurately rank sports teams - Compute winning probability - Calculate expected victory margin - Determine the set of factors that are most predictive of team and player performance Optimal Sports Math, Statistics, and Fantasy also illustrates modeling techniques that can be used to decode and demystify the mysterious computer ranking schemes that are often employed by post-season tournament selection committees in college and professional sports. These methods offer readers a verifiable and unbiased approach to evaluate and rank teams, and the proper statistical procedures to test and evaluate the accuracy of different models. Optimal Sports Math, Statistics, and Fantasy delivers a proven best-in-class quantitative modeling framework with numerous applications throughout the sports world. - Statistical approaches to predict winning team, probabilities, and victory margin - Procedures to evaluate the accuracy of different models - Detailed analysis of how mathematics and statistics are used in a variety of different sports - Advanced mathematical applications that can be applied to fantasy sports, player evaluation, salary negotiation, team selection, and Hall of Fame determination