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Statistical Thinking through Media Examples by Donoghue, Anthony, Brand New, ...

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
Book Title
Statistical Thinking through Media Examples
ISBN
9781793541963

About this product

Product Identifiers

Publisher
Cognella, Inc.
ISBN-10
1793541965
ISBN-13
9781793541963
eBay Product ID (ePID)
24057252495

Product Key Features

Number of Pages
346 Pages
Publication Name
Statistical Thinking Through Media Examples
Language
English
Subject
General
Publication Year
2021
Features
New Edition
Type
Textbook
Subject Area
Mathematics
Author
Anthony Donoghue
Format
Trade Paperback

Dimensions

Item Height
0.7 in
Item Weight
24.2 Oz
Item Length
10 in
Item Width
8 in

Additional Product Features

Edition Number
3
Intended Audience
Scholarly & Professional
LCCN
2023-385257
Dewey Edition
23
Dewey Decimal
519.5
Edition Description
New Edition
Synopsis
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 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 Number
QA276

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