Picture 1 of 1

Stock photo

Statistical Thinking through Media Examples by Anthony Donoghue: New - Picture 1 of 1

Statistical Thinking Through Media Examples by Anthony Donoghue (2021, Trade Paperback)

AlibrisBooks (464108)

98.6% positive feedback

Price:

$150.26

Free shipping

Estimated delivery Thu, Aug 28 - Thu, Sep 4

Returns:

30 days returns. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.

Condition:

Brand New

New Trade paperback

About this product

Product Identifiers

PublisherCognella, Inc.

ISBN-101793541965

ISBN-139781793541963

eBay Product ID (ePID)24057252495

Product Key Features

Number of Pages346 Pages

Publication NameStatistical Thinking Through Media Examples

LanguageEnglish

SubjectGeneral

Publication Year2021

FeaturesNew Edition

TypeTextbook

Subject AreaMathematics

AuthorAnthony Donoghue

FormatTrade Paperback

Dimensions

Item Height0.7 in

Item Weight24.2 Oz

Item Length10 in

Item Width8 in

Additional Product Features

Edition Number3

Intended AudienceScholarly & Professional

LCCN2023-385257

Dewey Edition23

Dewey Decimal519.5

Edition DescriptionNew Edition

SynopsisStatistical Thinking through Media Examples uses real-world examples from various media to give students an introduction to fundamentals of statistical thinking. Unlike many standard texts in the discipline, the book focuses on conceptual understanding-the meaning behind mathematical calculations rather than the calculations themselves. The book presents a rigorous introduction to statistical thinking, the necessary foundation for both the discipline of statistics and data science. Written in accessible language, the book begins by discussing the importance of learning how to assess the quality of research results presented by the media. This understanding creates an essential context for the following chapters on questioning study design, including polls and surveys. The remaining chapters explain the foundational concepts-probability, reasoning with variation in data, confidence intervals, hypothesis testing, and linear regression-through media examples. Students also learn how hypothesis testing can be misused and manipulated by researchers to provide a desired result. The third edition features contemporary media examples and related research findings on a variety of issues, including hydroxychloroquine and COVID-19, the effectiveness of mask recommendations, vaccine hesitancy and COVID-19, the inaccuracies of poll projections in swing states during the 2020 election, obesity and COVID-19, racial inequality, and climate change. Statistical Thinking through Media Examples is an ideal resource for any course that deals with introductory statistics, particularly those in the health and social sciences, journalism, and business., Uses real-world examples from various media to give students an introduction to fundamentals of statistical thinking. Unlike many standard texts in the discipline, the book focuses on conceptual understanding - the meaning behind mathematical calculations rather than the calculations themselves., Statistical Thinking through Media Examples uses real-world examples from various media to give students an introduction to fundamentals of statistical thinking. Unlike many standard texts in the discipline, the book focuses on conceptual understanding-the meaning behind mathematical calculations rather than the calculations themselves. The book presents a rigorous introduction to statistical thinking, the necessary foundation for both the discipline of statistics and data science. Written in accessible language, the book begins by discussing the importance of learning how to assess the quality of research results presented by the media. This understanding creates an essential context for the following chapters on questioning study design, including polls and surveys. The remaining chapters explain the foundational concepts-probability, reasoning with variation in data, confidence intervals, hypothesis testing, and linear regression-through media examples. Students also learn how hypothesis testing can be misused and manipulated by researchers to provide a desired result. The third edition features contemporary media examples and related research findings on a variety of issues, including hydroxychloroquine and COVID-19, the effectiveness of mask recommendations, vaccine hesitancy and COVID-19, the inaccuracies of poll projections in swing states during the 2020 election, obesity and COVID-19, racial inequality, and climate change. Statistical Thinking through Media Examples is an ideal primary textbook for any course that deals with introductory statistics, particularly those in the health and social sciences, journalism, and business.

LC Classification NumberQA276