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Statistical Thinking Through Media Examples (Paperback, 3rd Revised edition)
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Statistical Thinking Through Media Examples (Paperback, 3rd Revised edition)
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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.
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