Jane Superbrain

 

 

Jane Superbrain extracts

Jane explains some really touch stuff in the book, like this:

Jane extract 7.1

Think you can handle it? Here's where to find all Jane's extracts in the book:

Chapter Pedagogic listing Title Ltd Page Inc Page
1 1.1 When is a prediction not a prediction? 7 6
1 1.2 Self-report data 11 10
1 1.3 Continuous and discrete variables 13 11
1 1.4 Causality and statistics 19 16
1 1.5 The standard deviation and the shape of the distribution 32 25
2 2.1 Types of statistical models 51 40
2 2.2 Degrees of freedom 59 45
2 2.3 Who said statistics was dull? Part 1. 75 57
2 2.4 Cheating in research 77 59
3 3.1 Why do we use 0.05? 102 78
5 5.1 Catterplots 212 159
6 6.1 The assumption of normality with categorical predictors 232 175
6 6.2 Size really does matter 235 177
6 6.3 Stealth outliers 236 178
6 6.4 Using z-scores to find outliers 242 182
6 6.5 Significance tests and assumptions 248 187
6 6.6 Is Levene's test worth the effort? 259 195
6 6.7 To transform or not transform, that is the question 270 203
7 7.1 Non-parametric tests and statistical power 283 213
7 7.2 Exact tests 296 222
8 8.1 Who said statistics was dull? Part 2. 339 254
9 9.1 The difference between residuals and influence statistics 386 287
9 9.2 Maths frenzy 412 305
9 9.3 What are eigenvectors and eigenvalues? 419 310
10 10.1 Are median splits the devil's work? 440 328
12 12.1 ANOVA boils down to one equation (well, sort of) 529 392
12 12.2 What do I do in ANOVA when the homogeneity of variance assumption is broken? 535 396
13 13.1 An interpretational or statistical requirement? 582 430
13 13.2 What are the consequences of violating the assumption of homogeneity of regression slopes? 584 431
13 13.3 Options for ANCOVA 590 435
14 14.1 Naming ANOVAs 610 450
15 15.1 Sphericity and post hoc tests 657 483
15 15.2 Power in ANOVA and MANOVA 659 484
15 15.3 Adjusting for sphericity 671 493
15 15.4 Pointless P 672 494
17 17.1 The power of MANOVA 738 542
18 18.1 What's the difference between a pattern matrix and a structure matrix? 784 575
18 18.2 How many factors do I retain? 792 580
18 18.3 What is the determainant? 799 586
20 20.1 Computing the odds ratio? 905 660
20 20.2 Odds ratios and unobserved heterogeneity 910 665