Math in Action: Graphs, Data & Chance PDF Download
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Author: Teacher Created Resources
Publisher: Teacher Created Resources
ISBN: 1420635336
Category : Education
Languages : en
Pages : 98
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Book Description
Author: Teacher Created Resources
Publisher: Teacher Created Resources
ISBN: 1420635336
Category : Education
Languages : en
Pages : 98
Get Book Here
Book Description
Author: Teacher Created Resources
Publisher: Teacher Created Resources
ISBN: 142063531X
Category : Education
Languages : en
Pages : 98
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Book Description
Author: Ann E. Watkins
Publisher: Key College Publishing
ISBN:
Category : Mathematics
Languages : en
Pages : 770
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Book Description
Statistics in Action promotes a modern, data-analytic approach to learning statistics that allows students to uncover, display, and explore patterns in data. Most data sets are real-based on up-to-date research, historical case studies, and student-collected data. Students use tools systematically to build a coherent description of data-set patterns and to describe patterns in the language of their applied contexts. The text relies heavily on technology and it shifts from memorizing formulas to learning concepts first through activities, then through an informal graphical approach, and then via a more formal definition. This method motivates students and increases their knowledge.
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: Deborah J. Rumsey
Publisher: John Wiley & Sons
ISBN: 1119084857
Category : Mathematics
Languages : en
Pages : 530
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Book Description
Make studying statistics simple with this easy-to-read resource Wouldn't it be wonderful if studying statistics were easier? With U Can: Statistics I For Dummies, it is! This one-stop resource combines lessons, practical examples, study questions, and online practice problems to provide you with the ultimate guide to help you score higher in your statistics course. Foundational statistics skills are a must for students of many disciplines, and leveraging study materials such as this one to supplement your statistics course can be a life-saver. Because U Can: Statistics I For Dummies contains both the lessons you need to learn and the practice problems you need to put the concepts into action, you'll breeze through your scheduled study time. Statistics is all about collecting and interpreting data, and is applicable in a wide range of subject areas—which translates into its popularity among students studying in diverse programs. So, if you feel a bit unsure in class, rest assured that there is an easy way to help you grasp the nuances of statistics! Understand statistical ideas, techniques, formulas, and calculations Interpret and critique graphs and charts, determine probability, and work with confidence intervals Critique and analyze data from polls and experiments Combine learning and applying your new knowledge with practical examples, practice problems, and expanded online resources U Can: Statistics I For Dummies contains everything you need to score higher in your fundamental statistics course!
Author: Cole Nussbaumer Knaflic
Publisher: John Wiley & Sons
ISBN: 1119002265
Category : Mathematics
Languages : en
Pages : 284
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Book Description
Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!
Author: Kay B. Sammons
Publisher:
ISBN: 9781740253222
Category : Mathematics
Languages : en
Pages :
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Book Description
Students explore the concepts of Chance and Data through experiments with drawing linking cubes from a bag, spinners and rolling dice. They find possible outcomes and the chance for the outcomes to occur. Students make predictions, then experiment and record their results in tables and line plots. They play games involving chance and decide whether the games are fair or not fair. Students collect and organise data from experiments and surveys and display their data with linking cubes, pictographsglyphs, bar graphs and cirlcle-graphs. This book contains 40 reproducible student explorations, four longer investigations, one blackline master, sample solutions and notes for teachers.
Author: Norman Matloff
Publisher: CRC Press
ISBN: 0429687117
Category : Business & Economics
Languages : en
Pages : 295
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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: University of Michigan. College of Engineering
Publisher: UM Libraries
ISBN:
Category : Engineering schools
Languages : en
Pages : 1094
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Book Description
Author: University of Michigan
Publisher: UM Libraries
ISBN:
Category : Education, Higher
Languages : en
Pages : 1202
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Book Description
Each number is the catalogue of a specific school or college of the University.
