Statistics
Statistics

Author: Michael Sullivan

Publisher: Pearson Education

Published: 2013

Total Pages: 0

ISBN-13: 9780321757272

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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Michael Sullivan's Statistics: Informed Decisions Using Data, Fourth Edition, connects statistical concepts to students' lives, helping them to think critically, become informed consumers, and make better decisions. Throughout the book, "Putting It Together" features help students visualize the relationships among various statistical concepts. This feature extends to the exercises, providing a consistent vision of the bigger picture of statistics. This book follows the Guidelines for Assessment and Instruction in Statistics Education (GAISE), as recommended by the American Statistical Association, and emphasizes statistical literacy, use of real data and technology, conceptual understanding, and active learning.

The Data Science Design Manual
The Data Science Design Manual

Author: Steven S. Skiena

Publisher: Springer

Published: 2017-07-01

Total Pages: 456

ISBN-13: 3319554441

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This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)

ESSA’s Student Manual for Health, Exercise and Sport Assessment
ESSA’s Student Manual for Health, Exercise and Sport Assessment

Author: Jeff S. Coombes

Publisher: Elsevier Health Sciences

Published: 2020-08-01

Total Pages: 622

ISBN-13: 0729586561

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New Static and Dynamic Posture practical New Test Accuracy, Reliability and Validity practical New activities reflecting recent advances in the field Increased focus on the interpretation, feedback and discussion of the data collected during the assessment with the participant

Information Now
Information Now

Author: Matt Upson

Publisher: University of Chicago Press

Published: 2015-10-26

Total Pages: 124

ISBN-13: 022626775X

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Every day researchers face an onslaught of irrelevant, inaccurate, and sometimes insidious information. While new technologies provide powerful tools for accessing knowledge, not all information is created equal. Valuable information may be tucked away on a shelf, buried on the hundredth page of search results, or hidden behind digital barriers. With so many obstacles to effective research, it is vital that higher education students master the art of inquiry. Information Now is an innovative approach to information literacy that will reinvent the way college students think about research. Instead of the typical textbook format, it uses illustrations, humor, and reflective exercises to teach students how to become savvy researchers. Students will learn how to evaluate information, to incorporate it into their existing knowledge base, to wield it effectively, and to understand the ethical issues surrounding its use. Written by two library professionals, it incorporates concepts and skills drawn from the Association of College and Research Libraries’ Information Literacy Competency Standards for Higher Education and their Framework for Information Literacy for Higher Education. Thoroughly researched and highly engaging, Information Now offers the tools that students need to become powerful consumers and creators of information. Whether used by a high school student tackling a big paper, an undergrad facing the newness of a university library, or a writer wanting to go beyond Google, Information Now is a powerful tool for any researcher’s arsenal.

The Crystal Ball Instruction Manual, Volume One
The Crystal Ball Instruction Manual, Volume One

Author: Stephen Davies

Publisher:

Published: 2020-08-10

Total Pages:

ISBN-13: 9781715320041

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A perfect introduction to the exploding field of Data Science for the curious, first-time student. The author brings his trademark conversational tone to the important pillars of the discipline: exploratory data analysis, choices for structuring data, causality, machine learning principles, and introductory Python programming using open-source Jupyter Notebooks. This engaging read will allow any dedicated learner to build the skills necessary to contribute to the Data Science revolution, regardless of background.

Introductory Statistics
Introductory Statistics

Author: Robert Gould

Publisher:

Published: 2016-01-15

Total Pages: 736

ISBN-13: 9780321823656

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We live in a data-driven world, and the goal of this Canadian text is to teach students how to access and analyze these data critically. Canadian authors Jim Stallard and Michelle Boué emphasize that learning statistics extends beyond the classroom to an essential life skill, and want Canadian students to develop a "data habit of mind." Regardless of their math backgrounds, students will learn how to think about data and how to reason using data. With a clear, unintimidating writing style and carefully chosen pedagogy, this text makes data analysis accessible to all students. KEY TOPICS: Introduction to Data; Picturing Variation with Graphs; Numerical Summaries of Centre and Variation; Regression Analysis: Exploring Associations between Variables; Modelling Variation with Probability; Modeling Random Events: The Normal and Binomial Models; Survey Sampling and Inference; Hypothesis Testing for Population Proportions; Inferring Population Means; Associations between Categorical Variables; Multiple Comparisons and Analysis of Variance; Experimental Design: Controlling Variation; Inference without Normality;Inference for Regression MARKET: A textbook suitable for all introductory statistics courses