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An Adventure in Statistics : The Reality Enigma. 2nd ed. 統計学の冒険 第2版
・ISBN 978-1-5297-9714-5 hard GB£ 168.00
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・ISBN 978-1-5297-9713-8 paper GB£ 52.99
￥16,787.- (税込) ※（※）価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
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| 著者・編者 | Field, Andy, |
|---|---|
| 出版社 | (Sage, UK) |
| 出版年月 | 2022.04 |
| ページ数 | 664 pp. |
| 言語 | ENG |
| ニュース番号 | ＜674-300＞ |
解説
APEX Award 2023 for Publication Excellence: Print Media - Education & Training
Shortlisted for the British Psychological Society Book Award 2017
Shortlisted for the British Book Design and Production Awards 2016
Shortlisted for the Association of Learned & Professional Society Publishers Award for Innovation in Publishing 2016
Now in its second edition, An Adventure in Statistics: The Reality Enigma by best-selling author and award-winning teacher Andy Field offers a better way to learn statistics. It combines rock-solid statistics coverage with compelling visual storytelling to address the conceptual difficulties that students learning statistics for the first time often encounter in introductory courses. Students are guided away from rote memorization towards independent, critical thinking and problem solving.
This essential foundation to understanding statistics is woven into the unique action-packed story of Zach, who thinks, processes information and faces challenges to his understanding in the same way as a statistics novice. Illustrated with stunning, graphic novel-style art and featuring Socratic dialogue, the story captivates readers as it introduces them to concepts, eliminating potential statistics anxiety.
No previous statistics knowledge is presumed, and no use of data analysis software is required - everything you would expect for an introductory course is covered but with a contemporary twist, arming students with a strong grounding in understanding classical and Bayesian approaches to data analysis.
With its unique combination of story, concepts and terminology, this complete introduction to statistics from bestselling author Andy Field breaks the mould to present a statistical tale like no other.
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