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Introduction to Statistical Reasoning

Introduction to Statistical Reasoning
Author: Gary Smith
Publisher: McGraw-Hill Science, Engineering & Mathematics
Total Pages: 680
Release: 1998
Genre: Mathematics
ISBN:

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This text focuses on the analysis of data and the interpretation of results rather than the computational methods of statistics. Its examples are taken from a broad range of disciplines and screen shots from the more popular software packages are included to display data and graphics. Mathematical derivations are minimized, so encouraging the student to use a calculator or computer to perform the computations. Various technology options give the student a range of methods for performing the statistical computations. The section on uses and misuses of statistics shows how statistics are presented by graphs and charts.


Introduction to Social Statistics

Introduction to Social Statistics
Author: Thomas Dietz
Publisher: John Wiley & Sons
Total Pages: 613
Release: 2009-03-02
Genre: Mathematics
ISBN: 1405169028

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Introduction to Social Statistics is a basic statistics text with a focus on the use of models for thinking through statistical problems, an accessible and consistent structure with ongoing examples across chapters, and an emphasis on the tools most commonly used in contemporary research. Lively introductory textbook that uses three strategies to help students master statistics: use of models throughout; repetition with variation to underpin pedagogy; and emphasis on the tools most commonly used in contemporary research Demonstrates how more than one statistical method can be used to approach a research question Enhanced learning features include a ‘walk-through’ of statistical concepts, applications, features, advanced topics boxes, and a ‘What Have We Learned’ section at the end of each chapter Supported by a website containing instructor materials including chapter-by-chapter PowerPoint slides, answers to exercises, and an instructor guide Visit www.wiley.com/go/dietz for additional student and instructor resources.


Statistical Reasoning in Sports

Statistical Reasoning in Sports
Author: Josh Tabor
Publisher: Macmillan
Total Pages: 709
Release: 2011-12-23
Genre: Juvenile Nonfiction
ISBN: 1429274379

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Offering a unique and powerful way to introduce the principles of statistical reasoning, Statistical Reasoning in Sports features engaging examples and a student-friendly approach. Starting from the very first chapter, students are able to ask questions, collect and analyze data, and draw conclusions using randomization tests. Is it harder to shoot free throws with distractions? We explore this question by designing an experiment, collecting the data, and using a hands-on simulation to analyze results. Completely covering the Common Core Standards for Probability and Statistics, Statistical Reasoning in Sports is an accessible and fun way to learn about statistics!


The Challenge of Developing Statistical Literacy, Reasoning and Thinking

The Challenge of Developing Statistical Literacy, Reasoning and Thinking
Author: Dani Ben-Zvi
Publisher: Springer Science & Business Media
Total Pages: 423
Release: 2006-02-23
Genre: Mathematics
ISBN: 1402022786

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Unique in that it collects, presents, and synthesizes cutting edge research on different aspects of statistical reasoning and applies this research to the teaching of statistics to students at all educational levels, this volume will prove of great value to mathematics and statistics education researchers, statistics educators, statisticians, cognitive psychologists, mathematics teachers, mathematics and statistics curriculum developers, and quantitative literacy experts in education and government.


Introduction to Statistical Reasoning

Introduction to Statistical Reasoning
Author: Gary Smith
Publisher: McGraw-Hill College
Total Pages:
Release: 1999-01-01
Genre: Mathematics
ISBN: 9780072282573

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Statistical Foundations, Reasoning and Inference

Statistical Foundations, Reasoning and Inference
Author: Göran Kauermann
Publisher: Springer Nature
Total Pages: 361
Release: 2021-09-30
Genre: Mathematics
ISBN: 3030698270

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This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the quantification of uncertainty. Moreover, the book addresses statistical ideas that are useful in modern data analytics, including bootstrapping, modeling of multivariate distributions, missing data analysis, causality as well as principles of experimental design. The textbook includes sufficient material for a two-semester course and is intended for master’s students in data science, statistics and computer science with a rudimentary grasp of probability theory. It will also be useful for data science practitioners who want to strengthen their statistics skills.


Reasoning with Data

Reasoning with Data
Author: Jeffrey M. Stanton
Publisher: Guilford Publications
Total Pages: 336
Release: 2017-05-22
Genre: Social Science
ISBN: 1462530265

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Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both classical (frequentist) and Bayesian approaches to inference. Statistical techniques covered side by side from both frequentist and Bayesian approaches include hypothesis testing, replication, analysis of variance, calculation of effect sizes, regression, time series analysis, and more. Students also get a complete introduction to the open-source R programming language and its key packages. Throughout the text, simple commands in R demonstrate essential data analysis skills using real-data examples. The companion website provides annotated R code for the book's examples, in-class exercises, supplemental reading lists, and links to online videos, interactive materials, and other resources. ÿ Pedagogical Features *Playful, conversational style and gradual approach; suitable for students without strong math backgrounds. *End-of-chapter exercises based on real data supplied in the free R package. *Technical explanation and equation/output boxes. *Appendices on how to install R and work with the sample datasets.ÿ


Learning from Data

Learning from Data
Author: Arthur M. Glenberg
Publisher: Harcourt College Pub
Total Pages: 535
Release: 1988-01-01
Genre: Psychology
ISBN: 9780155503816

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Learning From Data

Learning From Data
Author: Arthur Glenberg
Publisher: Routledge
Total Pages: 666
Release: 2007-08-09
Genre: Education
ISBN: 1136676627

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Learning from Data focuses on how to interpret psychological data and statistical results. The authors review the basics of statistical reasoning to helpstudents better understand relevant data that affecttheir everyday lives. Numerous examples based on current research and events are featured throughout.To facilitate learning, authors Glenberg and Andrzejewski: Devote extra attention to explaining the more difficult concepts and the logic behind them Use repetition to enhance students’ memories with multiple examples, reintroductions of the major concepts, and a focus on these concepts in the problems Employ a six-step procedure for describing all statistical tests from the simplest to the most complex Provide end-of-chapter tables to summarize the hypothesis testing procedures introduced Emphasizes how to choose the best procedure in the examples, problems and endpapers Focus on power with a separate chapter and power analyses procedures in each chapter Provide detailed explanations of factorial designs, interactions, and ANOVA to help students understand the statistics used in professional journal articles. The third edition has a user-friendly approach: Designed to be used seamlessly with Excel, all of the in-text analyses are conducted in Excel, while the book’s downloadable resources contain files for conducting analyses in Excel, as well as text files that can be analyzed in SPSS, SAS, and Systat Two large, real data sets integrated throughout illustrate important concepts Many new end-of-chapter problems (definitions, computational, and reasoning) and many more on the companion CD Online Instructor’s Resources includes answers to all the exercises in the book and multiple-choice test questions with answers Boxed media reports illustrate key concepts and their relevance to realworld issues The inclusion of effect size in all discussions of power accurately reflects the contemporary issues of power, effect size, and significance. Learning From Data, Third Edition is intended as a text for undergraduate or beginning graduate statistics courses in psychology, education, and other applied social and health sciences.


Fundamentals of Statistical Reasoning in Education

Fundamentals of Statistical Reasoning in Education
Author: Theodore Coladarci
Publisher: John Wiley & Sons
Total Pages: 448
Release: 2013-12-31
Genre: Education
ISBN: 1118425219

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Fundamentals of Statistical Reasoning in Education, 4th Edition is a text specifically geared towards the education community. This text gives educators the statistical knowledge and skills necessary in everyday classroom teaching, in running schools, and in professional development pursuits. It emphasises conceptual development with an engaging style and clear exposition.