Author: Charles Henry Brase
Publisher:
ISBN: 9780495831488
Category : Mathematical statistics
Languages : en
Pages : 592
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Book Description
This title offers instructors an effective way to teach the essentials of statistics, including early coverage of Regression, within a more limited time frame.
Author: Barbara Illowsky
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 2106
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Book Description
Introductory Statistics 2e provides an engaging, practical, and thorough overview of the core concepts and skills taught in most one-semester statistics courses. The text focuses on diverse applications from a variety of fields and societal contexts, including business, healthcare, sciences, sociology, political science, computing, and several others. The material supports students with conceptual narratives, detailed step-by-step examples, and a wealth of illustrations, as well as collaborative exercises, technology integration problems, and statistics labs. The text assumes some knowledge of intermediate algebra, and includes thousands of problems and exercises that offer instructors and students ample opportunity to explore and reinforce useful statistical skills. This is an adaptation of Introductory Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.
Author: Charles Henry Brase
Publisher: Cengage Learning
ISBN: 9781337288750
Category : Mathematics
Languages : en
Pages :
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Book Description
Want to be sure that your answers are correct and that you took the correct steps to arrive at them? This manual contains fully worked-out solutions for all odd-numbered exercises in the text, so you can check your answers and understand how to solve even the toughest problems.
Author: Jay Devore
Publisher: Cengage Learning
ISBN: 9780495382171
Category : Mathematics
Languages : en
Pages : 768
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Book Description
This market-leading text provides a comprehensive introduction to probability and statistics for engineering students in all specialties. This proven, accurate book and its excellent examples evidence Jay Devore’s reputation as an outstanding author and leader in the academic community. Devore emphasizes concepts, models, methodology, and applications as opposed to rigorous mathematical development and derivations. Through the use of lively and realistic examples, students go beyond simply learning about statistics-they actually put the methods to use. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author:
Publisher: Jones & Bartlett Publishers
ISBN: 0763793299
Category :
Languages : en
Pages : 857
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Book Description
Author:
Publisher:
ISBN: 9780618205585
Category : Mathematical statistics
Languages : en
Pages : 233
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Book Description
Author: David Diez
Publisher:
ISBN: 9781943450046
Category :
Languages : en
Pages :
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Book Description
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: Kandethody M. Ramachandran
Publisher: Elsevier
ISBN: 012417132X
Category : Mathematics
Languages : en
Pages : 825
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Book Description
Mathematical Statistics with Applications in R, Second Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining the discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem solving in a logical manner.This book provides a step-by-step procedure to solve real problems, making the topic more accessible. It includes goodness of fit methods to identify the probability distribution that characterizes the probabilistic behavior or a given set of data. Exercises as well as practical, real-world chapter projects are included, and each chapter has an optional section on using Minitab, SPSS and SAS commands. The text also boasts a wide array of coverage of ANOVA, nonparametric, MCMC, Bayesian and empirical methods; solutions to selected problems; data sets; and an image bank for students.Advanced undergraduate and graduate students taking a one or two semester mathematical statistics course will find this book extremely useful in their studies. - Step-by-step procedure to solve real problems, making the topic more accessible - Exercises blend theory and modern applications - Practical, real-world chapter projects - Provides an optional section in each chapter on using Minitab, SPSS and SAS commands - Wide array of coverage of ANOVA, Nonparametric, MCMC, Bayesian and empirical methods
Author: Charles Henry Brase
Publisher:
ISBN: 9781285462837
Category :
Languages : en
Pages : 0
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Book Description
Want to be sure that your answers are correct and that you took the correct steps to arrive at them? This manual, which contains fully worked-out solutions to all of the odd-numbered exercises in the text, allows you to do so.
Author: Richard N. Aufmann
Publisher: Brooks Cole
ISBN: 9780357022610
Category : Mathematics
Languages : en
Pages :
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Book Description
Aufmann's DISCOVERING MATHEMATICS: A QUANTITATIVE REASONING APPROACH with WebAssign is designed for today's Quantitative Reasoning course. Focusing on topics relevant to students' lives and developing critical-thinking skills they can apply beyond the course, this text provides students with exactly what they need in an approachable, engaging and streamlined format. Flexible for all teaching models--from lecture, hybrid or fully online to flipped and active-learning environments--DISCOVERING MATHEMATICS: A QUANTITATIVE REASONING APPROACH will empower you to accomplish all your course objectives.
