Stats Data And Models Global Edition

Author : Richard D. De Veaux,Paul F. Velleman,David E. Bock
Publisher : Pearson
Page : 770 pages
File Size : 48,9 Mb
Release : 2015-02-25
Category : Mathematics
ISBN : 9780134175621

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Stats by Richard D. De Veaux,Paul F. Velleman,David E. Bock Pdf

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. NOTE: You are purchasing a standalone product; MyStatLab does not come packaged with this content. If you would like to purchase both the physical text and MyStatLab search for: 0133956490 / 9780133956498 Stats: Data and Models Plus NEW MyStatLab with Pearson eText -- Access Card Package Package consists of: 0321847997 / 9780321847997 My StatLab Glue-in Access Card 032184839X / 9780321848390 MyStatLab Inside Sticker for Glue-In Packages 0321986490 / 9780321986498 Stats: Data and Models MyStatLab should only be purchased when required by an instructor. For one-or-two semester introductory statistics courses. Richard De Veaux, Paul Velleman, and David Bock wrote Stats: Data and Models with the goal that students and instructors have as much fun reading it as they did writing it. Maintaining a conversational, humorous, and informal writing style, this new edition engages students from the first page. The authors focus on statistical thinking throughout the text and rely on technology for calculations. As a result, students can focus on developing their conceptual understanding. Innovative Think/Show/Tell examples give students a problem-solving framework and, more importantly, a way to think through any statistics problem and present their results. The Fourth Edition is updated with instructor podcasts, video lectures, and new examples to keep material fresh, current, and relevant to today’s students.

Author : Richard D. De Veaux,Paul F. Velleman,David E. Bock
Publisher : Pearson Higher Ed
Page : 1026 pages
File Size : 51,9 Mb
Release : 2021-01-22
Category : Electronic
ISBN : 9781292362328

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Stats: Data and Models, Global Edition by Richard D. De Veaux,Paul F. Velleman,David E. Bock Pdf

For courses in Introductory Statistics. Encourages statistical thinking using technology, innovative methods, and a sense of humour Inspired by the 2016 GAISE Report revision, Stats: Data and Models, 5th Edition by De Veaux, Velleman, and Bock uses innovative strategies to help students think critically about data, while maintaining the book's core concepts, coverage, and most importantly, readability. The authors make it easier for instructors to teach and for students to understand more complicated statistical concepts later in the course (such as the Central Limit Theorem). In addition, students get more exposure to large data sets and multivariate thinking, which better prepares them to be critical consumers of statistics in the 21st century. The 5th Edition’s approach to teaching Stats: Data and Models is revolutionary, yet it retains the book's lively tone and hallmark pedagogical features such as its Think/Show/Tell Step-by-Step Examples. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. Samples Download the detailed table of contents Preview sample pages from Stats: Data and Models, Global Edition

Author : Richard D. De Veaux,Paul F. Velleman,David E. Bock
Publisher : Addison Wesley Longman
Page : 0 pages
File Size : 50,8 Mb
Release : 2012
Category : Mathematical statistics
ISBN : 0321692551

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Stats by Richard D. De Veaux,Paul F. Velleman,David E. Bock Pdf

Stats: Data and Models, Third Edition, will intrigue and challenge students by encouraging them to think statistically and by emphasizing how statistics helps us understand the world. Praised by students and instructors alike for its readability and ease of comprehension, this text focuses on statistical thinking and data analysis. The authors draw from their wealth of consulting experience to craft compelling examples, which encourages students to learn how to reason with data. This book is organized into short chapters that concentrate on one topic at a time, offering instructors maximum flexibility in planning their courses. The text is appropriate for a one-or-two semester introductory statistics course and includes advanced topics, such as Analysis of Variance (ANOVA), Multiple Regression, and Nonparametrics.

Author : Richard D De Veaux,Paul F. Velleman,David E Bock,Augustin M Vukov,Augustine C. M Wong
Publisher : Unknown
Page : 128 pages
File Size : 51,8 Mb
Release : 2014-10-30
Category : Mathematical statistics
ISBN : 0321828429

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Stats by Richard D De Veaux,Paul F. Velleman,David E Bock,Augustin M Vukov,Augustine C. M Wong Pdf

Unparalleled in its readability and ease of comprehension, Stats: Data and Models, Second Canadian Edition, focuses on statistical thinking and data analysis. Written in an approachable style without sacrificing rigor, this text incorporates compelling examples derived from the authors' wealth of teaching experience and encourages students to learn how to reason with data. Stats: Data and Models promotes conceptual understanding for applied statistics without overwhelming the reader with tedious calculations and complex mathematics. This Second Canadian Edition has been meticulously updated to include the most relevant and engaging Canadian examples and data.

Author : Richard D. De Veaux,Paul F. Velleman,David E. Bock,Augustin M. Vukov,Augustine C. M. Wong
Publisher : Unknown
Page : 1088 pages
File Size : 49,9 Mb
Release : 2018-01-15
Category : Mathematical statistics
ISBN : 0134301056

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Stats by Richard D. De Veaux,Paul F. Velleman,David E. Bock,Augustin M. Vukov,Augustine C. M. Wong Pdf

Unparalleled in its readability and ease of comprehension, Stats: Data and Models, Third Canadian Edition, focuses on statistical thinking and data analysis. Written in an approachable style without sacrificing rigor, this text incorporates compelling examples derived from the authors' wealth of teaching experience and encourages students to learn how to reason with data. Stats: Data and Models promotes conceptual understanding for applied statistics without overwhelming the reader with tedious calculations and complex mathematics. This Third Canadian Edition has been meticulously updated to include the most relevant and engaging Canadian examples and data. KEY TOPICS: Stats Starts Here;Displaying and Describing Categorical Data;Displaying and Summarizing Quantitative Data;Understanding and Comparing Distributions;The Standard Deviation as a Ruler and the Normal Model;Review: Exploring and Understanding Data;Scatterplots, Association, and Correlation;Linear Regression;Regression Wisdom;Review Exploring Relationships Between Variables;Sample Surveys;Experiments and Observational Studies;Review: Gathering Data;From Randomness to Probability;Probability Rules!;Random Variables;Review: Randomness and Probability;Sampling Distribution Models;Confidence Intervals for Proportions;Testing Hypotheses About Proportions;More About Tests;Inferences About Means;Review: From the Data at Hand to the World at Large; Comparing Means;Paired Samples and Blocks;Comparing Two Proportions;Comparing Counts;Inferences for Regression;Review: Assessing Associations Between Variables; Analysis of Variance;Multifactor Analysis of Variance;Multiple Regression;Multiple Regression Wisdom;Review Inference When Variables Are Related;Nonparametric Tests;The Bootstrap (online only) MARKET: Appropriate for Introductory Statistics-Algebra-Based Courses.

Author : Richard D. De Veaux,Paul F. Velleman,David E. Bock,Gus Vukov,Augustine Wong
Publisher : Unknown
Page : 1088 pages
File Size : 42,8 Mb
Release : 2011-03-30
Category : Electronic
ISBN : 0321748298

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Stats by Richard D. De Veaux,Paul F. Velleman,David E. Bock,Gus Vukov,Augustine Wong Pdf

Unparalleled in its readability and ease of comprehension, Stats: Data and Models, First Canadian Edition, focuses on statistical thinking and data analysis. Written in an approachable style without sacrificing rigor, this text incorporates compelling examples derived from the authors' wealth of consulting experience and encourages students to learn how to reason with data. Stats: Data and Models promotes conceptual understanding for applied statistics without overwhelming with tedious calculations and complex mathematics. This First Canadian Edition has been meticulously updated to include the most relevant and engaging Canadian examples and data.

Author : Peter Bruce,Andrew Bruce
Publisher : "O'Reilly Media, Inc."
Page : 395 pages
File Size : 45,8 Mb
Release : 2017-05-10
Category : Computers
ISBN : 9781491952917

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Practical Statistics for Data Scientists by Peter Bruce,Andrew Bruce Pdf

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

Author : Richard D. De Veaux,Paul F. Velleman,David E. Bock
Publisher : Unknown
Page : 800 pages
File Size : 54,6 Mb
Release : 2019
Category : Mathematical statistics
ISBN : 013516382X

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Stats by Richard D. De Veaux,Paul F. Velleman,David E. Bock Pdf

For courses in Introductory Statistics. Encourages statistical thinking using technology, innovative methods, and a sense of humor Inspired by the 2016 GAISE Report revision, Stats: Data and Models, 5th Edition by De Veaux/Velleman/Bock uses innovative strategies to help students think critically about data -- while maintaining the book's core concepts, coverage, and most importantly, readability. By using technology and simulations to demonstrate variability at critical points throughout the course, the authors make it easier for instructors to teach and for students to understand more complicated statistical concepts later in the course (such as the Central Limit Theorem). In addition, students get more exposure to large data sets and multivariate thinking, which better prepares them to be critical consumers of statistics in the 21st century. The 5th Edition's approach to teaching Stats: Data and Models is revolutionary, yet it retains the book's lively tone and hallmark pedagogical features such as its Think/Show/Tell Step-by-Step Examples. Also available with MyLab Statistics MyLab(tm) Statistics is the teaching and learning platform that empowers instructors to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab Statistics personalizes the learning experience and improves results for each student. With MyLab Statistics and StatCrunch, an integrated web-based statistical software program, students learn the skills they need to interact with data in the real world. Note: You are purchasing a standalone product; MyLab Statistics does not come packaged with this content. Students, if interested in purchasing this title with MyLab Statistics, ask your instructor to confirm the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab Statistics, search for: 0135256216 / 9780135256213 Stats: Data and Models Plus MyLab Statistics with Pearson eText - Access Card Package Package consists of: 013516382X / 9780135163825 Stats: Data and Models 0135189691 / 9780135189696 MyLab Statistics with Pearson eText - Standalone Access Card - for Stats: Data and Models

Author : Måns Thulin
Publisher : BoD - Books on Demand
Page : 598 pages
File Size : 47,7 Mb
Release : 2021-07-28
Category : Mathematics
ISBN : 9789152701515

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Modern Statistics with R by Måns Thulin Pdf

The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. The aim of Modern Statistics with R is to introduce you to key parts of the modern statistical toolkit. It teaches you: - Data wrangling - importing, formatting, reshaping, merging, and filtering data in R. - Exploratory data analysis - using visualisation and multivariate techniques to explore datasets. - Statistical inference - modern methods for testing hypotheses and computing confidence intervals. - Predictive modelling - regression models and machine learning methods for prediction, classification, and forecasting. - Simulation - using simulation techniques for sample size computations and evaluations of statistical methods. - Ethics in statistics - ethical issues and good statistical practice. - R programming - writing code that is fast, readable, and free from bugs. Starting from the very basics, Modern Statistics with R helps you learn R by working with R. Topics covered range from plotting data and writing simple R code to using cross-validation for evaluating complex predictive models and using simulation for sample size determination. The book includes more than 200 exercises with fully worked solutions. Some familiarity with basic statistical concepts, such as linear regression, is assumed. No previous programming experience is needed.

Author : Richard D. De Veaux,Paul F. Velleman,David E. Bock
Publisher : Unknown
Page : 0 pages
File Size : 52,6 Mb
Release : 2016
Category : DVD-ROMs
ISBN : 0321986490

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Stats by Richard D. De Veaux,Paul F. Velleman,David E. Bock Pdf

Richard De Veaux, Paul Velleman, and David Bock wrote Stats: Data and Models with the goal that students and instructors have as much fun reading it as they did writing it. Maintaining a conversational, humorous, and informal writing style, this new edition engages students from the first page. The authors focus on statistical thinking throughout the text and rely on technology for calculations. As a result, students can focus on developing their conceptual understanding. Innovative Think/Show/Tell examples give students a problem-solving framework and, more importantly, a way to think throug.

Author : Daniel Navarro
Publisher : Lulu.com
Page : 617 pages
File Size : 46,8 Mb
Release : 2013-01-13
Category : Psychology
ISBN : 9781326189723

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Learning Statistics with R by Daniel Navarro Pdf

"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com

Author : Hadley Wickham,Garrett Grolemund
Publisher : "O'Reilly Media, Inc."
Page : 521 pages
File Size : 55,5 Mb
Release : 2016-12-12
Category : Computers
ISBN : 9781491910368

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R for Data Science by Hadley Wickham,Garrett Grolemund Pdf

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Author : Richard D. De Veaux
Publisher : Unknown
Page : 0 pages
File Size : 44,5 Mb
Release : 2022
Category : Electronic
ISBN : 0135733065

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Stats by Richard D. De Veaux Pdf

Author : David Diez,Christopher Barr,Mine Çetinkaya-Rundel
Publisher : Unknown
Page : 128 pages
File Size : 40,7 Mb
Release : 2015-07-02
Category : Electronic
ISBN : 1943450048

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OpenIntro Statistics by David Diez,Christopher Barr,Mine Çetinkaya-Rundel Pdf

The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.

Author : Larry Wasserman
Publisher : Springer Science & Business Media
Page : 446 pages
File Size : 48,6 Mb
Release : 2013-12-11
Category : Mathematics
ISBN : 9780387217369

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All of Statistics by Larry Wasserman Pdf

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.