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El. knyga: Adventure in Statistics: The Reality Enigma

3.94/5 (129 ratings by Goodreads)
  • Formatas: 664 pages
  • Išleidimo metai: 25-Mar-2022
  • Leidėjas: Sage Publications Ltd
  • Kalba: eng
  • ISBN-13: 9781529797770
Kitos knygos pagal šią temą:
Adventure in Statistics: The Reality EnigmaDidesnis paveikslėlis
  • Formatas: 664 pages
  • Išleidimo metai: 25-Mar-2022
  • Leidėjas: Sage Publications Ltd
  • Kalba: eng
  • ISBN-13: 9781529797770
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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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A unique blend of novel and textbook from bestselling author Andy Field that provides a complete introduction to statistics - alongside a terrifying probability bridge, zombies and a talking cat.

What's this Book About? ix
How to Use this Book xi
Who is the book aimed at? xi
How do I teach with a book that has a fictional narrative? xi
Can I dip into the book? xi
What online resources are there? xii
Guide for Students xiii
Prologue: The Dying Stars 1(6)
1 Why You Need Science: The Beginning and the End
7(28)
1.1 Will you love me now?
9(3)
1.2 How science works
12(7)
1.3 Research methods
19(12)
1.4 Why we need science
31(4)
Key terms
32(1)
JIG:SAW's puzzles
32(3)
2 Reporting Research, Variables and Measurement: Breaking the Law
35(32)
2.1 Writing up research
38(5)
2.2 Maths and statistical notation
43(6)
2.3 Variables and measurement
49(18)
Key terms
63(1)
JIG:SAW's puzzles
63(4)
3 Summarizing Data: She Loves Me Not?
67(30)
3.1 Frequency distributions
71(20)
3.2 Throwing shapes
91(6)
Key terms
94(1)
JIG:SAWs puzzles
94(3)
4 Fitting Models (Central Tendency): Somewhere in the Middle
97(40)
4.1 Statistical models
100(8)
4.2 Central tendency
108(10)
4.3 The `fit' of the mean: variance
118(11)
4.4 Dispersion
129(8)
Key terms
135(1)
JIG:SAW's puzzles
135(2)
5 Presenting Data: Aggressive Prefector
137(26)
5.1 Types of graphs
139(3)
5.2 Another perfect day
142(1)
5.3 The art of presenting data
143(20)
Key terms
157(1)
JIG:SAW's puzzles
157(6)
6 Z-Scores: The Wolf is Loose
163(20)
6.1 Interpreting raw scores
166(2)
6.2 Standardizing a score
168(4)
6.3 Using z-scores to compare distributions
172(5)
6.4 Using z-scores to compare scores
177(2)
6.5 z-scores for samples
179(4)
Key terms
182(1)
JIG:SAW's puzzles
182(1)
7 Probability: The Bridge of Death
183(36)
7.1 Probability
185(8)
7.2 Probability and frequency distributions
193(18)
7.3 Conditional probability: Deathscotch
211(8)
Key terms
217(1)
JIG:SAW's puzzles
217(2)
8 Inferential Statistics: Going Beyond the Data: Humiliative
219(36)
8.1 Estimating parameters
223(4)
8.2 How well does a sample represent the population?
227(9)
8.3 Confidence intervals
236(10)
8.4 Inferential statistics
246(9)
Key terms
253(1)
JIG:SAW's puzzles
253(2)
9 Robust Estimation: Man without Faith or Trust
255(30)
9.1 Sources of bias
258(8)
9.2 A great mistake
266(3)
9.3 Reducing bias
269(11)
9.4 A final point about extreme scores
280(5)
Key terms
283(1)
JIG:SAW's puzzles
283(2)
10 Hypothesis Testing: In Reality All is Void
285(26)
10.1 Null hypothesis significance testing
288(23)
Key terms
308(1)
JIG:SAWs puzzles
308(3)
11 Modern Approaches to Theory Testing: A Careworn Heart
311(30)
11.1 Problems with NHST
313(5)
11.2 Effect sizes
318(9)
11.3 Meta-analysis
327(2)
11.4 Bayesian approaches
329(12)
Key terms
338(1)
JIG:SAW's puzzles
338(3)
12 Assumptions: Starblind
341(28)
12.1 Fitting models: bringing it all together
344(4)
12.2 Assumptions
348(17)
12.3 Turning ever towards the sun
365(4)
Key terms
367(1)
JIG:SAWs puzzles
367(2)
13 Relationships: A Stranger's Grave
369(40)
13.1 Finding relationships in categorical data
372(14)
13.2 What evil lay dormant
386(3)
13.3 Modelling relationships
389(15)
13.4 Silent sorrow in empty boats
404(5)
Key terms
407(1)
JIG:SAW's puzzles
407(2)
14 The General Linear Model: Red Fire Coming Out From His Gills
409(44)
14.1 The linear model with one predictor
412(20)
14.2 Bias in the linear model
432(2)
14.3 A general procedure for fitting linear models
434(1)
14.4 Models with several predictors
435(12)
14.5 Robust regression
447(6)
Key terms
451(1)
JIG:SAW's puzzles
451(2)
15 Comparing Two Means: Rock or Bust
453(34)
15.1 Testing differences between means: The rationale
455(4)
15.2 Means and the linear model
459(11)
15.3 Everything you believe is wrong
470(2)
15.4 The paired-samples f-test
472(5)
15.5 Alternative approaches
477(10)
Key terms
483(1)
JIG:SAW's puzzles
483(4)
16 Comparing Several Means: Faith in Others
487(58)
16.1 General procedure for comparing means
493(2)
16.2 Comparing several means with the linear model
495(14)
16.3 Contrast coding
509(11)
16.4 Storm of memories
520(3)
16.5 Repeated-measures designs
523(9)
16.6 Alternative approaches
532(5)
16.7 The invisible man
537(8)
Key terms
539(1)
JIG:SAWs puzzles
540(5)
17 Factorial Designs: Prayer of Transformation
545(36)
17.1 Factorial designs
549(1)
17.2 General procedure and assumptions
550(1)
17.3 Analysing factorial designs
550(16)
17.4 From the pinnacle to the pit
566(1)
17.5 Alternative approaches
566(3)
17.6 Interpreting interaction effects
569(12)
Key terms
577(1)
JIG:SAW's puzzles
577(4)
Epilogue: The Genial Night: Si Momentum Requiris, Circumspice
581(8)
Appendix
589(14)
A.1 The standard normal distribution
589(6)
A.2 The f-distribution
595(2)
A.3 Critical values of the chi-square distribution
597(1)
A.4 Critical values of the F-distribution
598(5)
Glossary 603(26)
References 629(6)
Index 635(10)
Acknowledgements 645
Andy Field is Professor of Quantitative Methods at the University of Sussex. He has published widely (100+ research papers, 29 book chapters, and 17 books in various editions) in the areas of child anxiety and psychological methods and statistics. His current research interests focus on barriers to learning mathematics and statistics.

He is internationally known as a statistics educator. He has written several widely used statistics textbooks including Discovering Statistics Using IBM SPSS Statistics (winner of the 2007 British Psychological Society book award), Discovering Statistics Using R, and An Adventure in Statistics (shortlisted for the British Psychological Society book award, 2017; British Book Design and Production Awards, primary, secondary and tertiary education category, 2016; and the Association of Learned & Professional Society Publishers Award for innovation in publishing, 2016), which teaches statistics through a fictional narrative and uses graphic novel elements. He has also written the adventr and discovr packages for the statistics software R that teach statistics and R through interactive tutorials.

His uncontrollable enthusiasm for teaching statistics to psychologists has led to teaching awards from the University of Sussex (2001, 2015, 2016, 2018, 2019), the British Psychological Society (2006) and a prestigious UK National Teaching fellowship (2010).

Hes done the usual academic things: had grants, been on editorial boards, done lots of admin/service but he finds it tedious trying to remember this stuff. None of them matter anyway because in the unlikely event that youve ever heard of him itll be as the Stats book guy. In his spare time, he plays the drums very noisily in a heavy metal band, and walks his cocker spaniel, both of which he finds therapeutic.
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