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Exploring Data Graphs And Numerical Summaries
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Book Synopsis Exploring data: graphs and numerical summaries by : The Open University
Download or read book Exploring data: graphs and numerical summaries written by The Open University and published by The Open University. This book was released on 2011-07-27 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 20-hour free course introduced a number of ways of representing data graphically and summarising data numerically.
Book Synopsis Illustrating Statistical Procedures: Finding Meaning in Quantitative Data by : Ray W. Cooksey
Download or read book Illustrating Statistical Procedures: Finding Meaning in Quantitative Data written by Ray W. Cooksey and published by Springer Nature. This book was released on 2020-05-14 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement them. This book provides a comprehensive overview of this important research skill domain with an emphasis on visual support for learning and better understanding. The primary focus is on fundamental concepts, procedures and interpretations of statistical analyses within a single broad illustrative research context. The book covers a wide range of descriptive, correlational and inferential statistical procedures as well as more advanced procedures not typically covered in introductory and intermediate statistical texts. It is an ideal reference for postgraduate students as well as for researchers seeking to broaden their conceptual exposure to what is possible in statistical analysis.
Book Synopsis Introduction to Modern Statistics by : Mine Çetinkaya-Rundel
Download or read book Introduction to Modern Statistics written by Mine Çetinkaya-Rundel and published by . This book was released on 2021-06-12 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Practice of Statistics by : Dan Yates
Download or read book The Practice of Statistics written by Dan Yates and published by Macmillan. This book was released on 2003 with total page 936 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combining the strength of the data analysis approach and the power of technology, the new edition features powerful and helpful new media supplements, enhanced teacher support materials, and full integration of the TI-83 and TI-89 graphing calculators.
Book Synopsis Statistical Inference via Data Science: A ModernDive into R and the Tidyverse by : Chester Ismay
Download or read book Statistical Inference via Data Science: A ModernDive into R and the Tidyverse written by Chester Ismay and published by CRC Press. This book was released on 2019-12-23 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers traditional introductory statistics topics like confidence intervals, hypothesis testing, and multiple regression modeling, while focusing on visualization throughout. Features: ● Assumes minimal prerequisites, notably, no prior calculus nor coding experience ● Motivates theory using real-world data, including all domestic flights leaving New York City in 2013, the Gapminder project, and the data journalism website, FiveThirtyEight.com ● Centers on simulation-based approaches to statistical inference rather than mathematical formulas ● Uses the infer package for "tidy" and transparent statistical inference to construct confidence intervals and conduct hypothesis tests via the bootstrap and permutation methods ● Provides all code and output embedded directly in the text; also available in the online version at moderndive.com This book is intended for individuals who would like to simultaneously start developing their data science toolbox and start learning about the inferential and modeling tools used in much of modern-day research. The book can be used in methods and data science courses and first courses in statistics, at both the undergraduate and graduate levels.
Book Synopsis Loose-Leaf Version of The Basic Practice of Statistics by : David S. Moore
Download or read book Loose-Leaf Version of The Basic Practice of Statistics written by David S. Moore and published by Macmillan Higher Education. This book was released on 2021-01-29 with total page 2558 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now available with Macmillan’s new online learning tool Achieve, the ninth edition of The Basic Practice of Statistics 9e teaches statistical thinking by guiding students through an investigative process of problem-solving with pedagogy designed to help students of all levels. Examples and exercises from a wide variety of topic areas use current, real data to provide students insight into how and why statistics are used to make decisions in the real world. Achieve for The Basic Practice of Statistics connects the trusted Four-Step problem-solving approach and real world examples in the book to rich digital resources that foster further understanding and application of statistics. Assets in Achieve support learning before, during, and after class for students, while providing instructors with class performance analytics in an easy-to-use interface.
Book Synopsis The Practice of Statistics by : Daren S. Starnes
Download or read book The Practice of Statistics written by Daren S. Starnes and published by Macmillan. This book was released on 2010-12-17 with total page 959 pages. Available in PDF, EPUB and Kindle. Book excerpt: View a Panopto recording of textbook author Daren Starnes detailing ten reasons the new fourth edition of The Practice of Statistics is the right choice for the AP* Statistics course. Watch instructor video reviews here. Available for your Fall 2010 Course! Request Sample Chapter 3 here. The most thorough and exciting revision to date, The Practice of Statistics 4e is a text that fits all AP* Statistics classrooms. Authors Starnes, Yates and Moore drew upon the guidance of some of the most notable names in AP* and their students to create a text that fits today’s classroom. The new edition comes complete with new pedagogical changes, including built-in AP* testing, four-step examples, section summaries, “Check Your Understanding” boxes and more. The Practice of Statistics long stands as the only high school statistics textbook that directly reflects the College Board course description for AP* Statistics. Combining the data analysis approach with the power of technology, innovative pedagogy, and a number of new features, the fourth edition will provide you and your students with the most effective text for learning statistics and succeeding on the AP* Exam.
Book Synopsis Studying at a Distance: a Guide for Students by : Christine Talbot
Download or read book Studying at a Distance: a Guide for Students written by Christine Talbot and published by McGraw-Hill Education (UK). This book was released on 2016-03-16 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This authoritative book has supported thousands of distance learners, providing accessible support and friendly advice for their studies. This essential guide provides practical help for anyone who is embarking on a distance learning course. Ideal for those who have not previously studied at a distance or for students returning to study after a break, it covers fundamental issues such as motivation, goal-setting, time management and coping strategies. The fourth edition includes: • How to understand the distance learning experience and what your institution expects of its distance learners • The practicalities of learning at a distance, including how to get support when you need it • Updated information on the use of new technologies in distance learning, including mobile learning • Tips and advice on doing a research project at a distance • Coverage of key study skills including reading and note-making, completing written assignments, developing critical analysis skills and avoiding plagiarism • Support for international students in understanding how to make the most of studying remotely at a UK Higher Education institution Hallmark features of this book are the comments and advice offered by students and tutors sharing their own experiences of distance learning. It also includes comprehensive self-study activities that highlight the element of active learning that is crucial to successful studying at a distance. Studying at a Distance, 4th edition is a key resource for undergraduates and postgraduates in all open and distance learning or e-learning courses.
Book Synopsis The Basic Practice of Statistics Telecourse Study Guide by : David S. Moore
Download or read book The Basic Practice of Statistics Telecourse Study Guide written by David S. Moore and published by Macmillan. This book was released on 2010-07-27 with total page 978 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Basic Practice of Statistics has become a bestselling textbook by focusing on how statistics are gathered, analyzed, and applied to real problems and situations—and by confronting student anxieties about the course’s relevance and difficulties head on. With David Moore’s pioneering "data analysis" approach (emphasizing statistical thinking over computation), engaging narrative and case studies, current problems and exercises, and an accessible level of mathematics, there is no more effective textbook for showing students what working statisticians do and what accurate interpretations of data can reveal about the world we live in. In the new edition, you will once again see how everything fits together. As always, Moore’s text offers balanced content, beginning with data analysis, then covering probability and inference in the context of statistics as a whole. It provides a wealth of opportunities for students to work with data from a wide range of disciplines and real-world settings, emphasizing the big ideas of statistics in the context of learning specific skills used by professional statisticians. Thoroughly updated throughout, the new edition offers new content, features, cases, data sources, and exercises, plus new media support for instructors and students—including the latest version of the widely-adopted StatsPortal. The full picture of the contemporary practice of statistics has never been so captivatingly presented to an uninitiated audience.
Author :Consortium for Mathematics and Its Applications (U.S.) Publisher :Macmillan ISBN 13 :9780716747826 Total Pages :946 pages Book Rating :4.7/5 (478 download)
Book Synopsis For All Practical Purposes by : Consortium for Mathematics and Its Applications (U.S.)
Download or read book For All Practical Purposes written by Consortium for Mathematics and Its Applications (U.S.) and published by Macmillan. This book was released on 2003 with total page 946 pages. Available in PDF, EPUB and Kindle. Book excerpt: The sixth edition of the acclaimed classroom favorite, offer a number of new features to help instructors strenghten the mathematical literacy of their students.
Book Synopsis Practical Statistics for Data Scientists by : Peter Bruce
Download or read book Practical Statistics for Data Scientists written by Peter Bruce and published by "O'Reilly Media, Inc.". This book was released on 2017-05-10 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data
Book Synopsis Statistics and Probability in High School by : Carmen Batanero
Download or read book Statistics and Probability in High School written by Carmen Batanero and published by Springer. This book was released on 2016-07-27 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics and probability are fascinating fields, tightly interwoven with the context of the problems which have to be modelled. The authors demonstrate how investigations and experiments provide promising teaching strategies to help high-school students acquire statistical and probabilistic literacy. In the first chapter the authors put into practice the following educational principles, reflecting their views of how these subjects should be taught: a focus on the most relevant ideas and postpone extensions to later stages; illustrating the complementary/dual nature of statistical and probabilistic reasoning; utilising the potential of technology and show its limits; and reflecting on the different levels of formalisation to meet the wide variety of students’ previous knowledge, abilities, and learning types. The remaining chapters deal with exploratory data analysis, modelling information by probabilities, exploring and modelling association, and with sampling and inference. Throughout the book, a modelling view of the concepts guides the presentation. In each chapter, the development of a cluster of fundamental ideas is centred around a statistical study or a real-world problem that leads to statistical questions requiring data in order to be answered. The concepts developed are designed to lead to meaningful solutions rather than remain abstract entities. For each cluster of ideas, the authors review the relevant research on misconceptions and synthesise the results of research in order to support teaching of statistics and probability in high school. What makes this book unique is its rich source of worked-through tasks and its focus on the interrelations between teaching and empirical research on understanding statistics and probability.
Book Synopsis Exploring Data: An Introduction to Data Analysis for Social Scientists by : Jane; Marsh Elliott (Catherine)
Download or read book Exploring Data: An Introduction to Data Analysis for Social Scientists written by Jane; Marsh Elliott (Catherine) and published by Polity. This book was released on 2009 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Basic Statistics with R by : Stephen C. Loftus
Download or read book Basic Statistics with R written by Stephen C. Loftus and published by Academic Press. This book was released on 2021-02-20 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basic Statistics with R: Reaching Decisions with Data provides an understanding of the processes at work in using data for results. Sections cover data collection and discuss exploratory analyses, including visual graphs, numerical summaries, and relationships between variables - basic probability, and statistical inference - including hypothesis testing and confidence intervals. All topics are taught using real-data drawn from various fields, including economics, biology, political science and sports. Using this wide variety of motivating examples allows students to directly connect and make statistics essential to their field of interest, rather than seeing it as a separate and ancillary knowledge area. In addition to introducing students to statistical topics using real data, the book provides a gentle introduction to coding, having the students use the statistical language and software R. Students learn to load data, calculate summary statistics, create graphs and do statistical inference using R with either Windows or Macintosh machines. Features real-data to give students an engaging practice to connect with their areas of interest Evolves from basic problems that can be worked by hand to the elementary use of opensource R software Offers a direct, clear approach highlighted by useful visuals and examples
Book Synopsis Student Solutions Manual for For All Practical Purposes by : COMAP
Download or read book Student Solutions Manual for For All Practical Purposes written by COMAP and published by Macmillan. This book was released on 2008-12-26 with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contains complete solutions to odd-numbered problems in text.
Download or read book For All Practical Purposes written by and published by Macmillan. This book was released on 2009 with total page 844 pages. Available in PDF, EPUB and Kindle. Book excerpt: By the Consortium for Mathematics and Its Applications.
Book Synopsis Discrete Data Analysis with R by : Michael Friendly
Download or read book Discrete Data Analysis with R written by Michael Friendly and published by CRC Press. This book was released on 2015-12-16 with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Applied Treatment of Modern Graphical Methods for Analyzing Categorical DataDiscrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and frequency data. It explains how to use graphical meth
