图书简介
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. Stay connected Join us on Facebook and share your experiences with Andy’s texts, check out news, access free stuff, see photos, watch videos, learn about competitions, and much more.
Prologue \\ Chapter 1: Why you need science \\ Chapter 2: Reporting research, variables and measurement \\ Chapter 3: Summarizing data \\ Chapter 4: Fitting models (central tendency) \\ Chapter 5: Presenting data \\ Chapter 6: Z-scores \\ Chapter 7: Probability \\ Chapter 8: Inferential statistics: going beyond the data \\ Chapter 9: Robust estimation \\ Chapter 10: Hypothesis testing \\ Chapter 11: Modern approaches to theory testing \\ Chapter 12: Assumptions \\ Chapter 13: Relationships \\ Chapter 14: The general linear model \\ Chapter 15: Comparing two means \\ Chapter 16: Comparing several means \\ Chapter 17: Factorial designs \\ Epilogue: The genial night
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