A few readers have emailed to ask for more information about the book by David J. Sheskin we alluded to in the comment reply re: the Statistical test advisor, last week.
The book is the Handbook of Parametric & Nonparametric Statistical procedures, by David J. Sheskin, ISBN: 1584888148.
We have the third edition of the book which runs to over 1,200 pages  a phenomenal piece of work for a single (obviously very dedicated) author. While it’s not a book you would sit down and read covertocover, it is a very readable reference guide, covering all the parametric and nonparametric statistical procedures included in Analyseit.
For beginners the book starts at the very beginning, introducing summary statistics such as the mean, median, then moving on to explain concepts such as measurement scales, central tendency, variability, normal distribution, hypothesis testing, parametric and nonparametric statistics. The text is concise, but is clear, easy to read, and easy to understand  ideal for anyone needing a refresher course on statistics.
Over 130 statistical tests for univariate and bivariate data are then covered, including ANOVA, ChiSquare, t test, MannWhitney, Wilcoxon Signed Ranks, and many more. The historical background, purpose, use, assumptions and interpretation are explained, with examples to demonstrate realworld use of the test in business, education, life and environment science applications. Again, the text is very easy to read, and the extensive use of examples really helps to demonstrate how the tests are used in practical situations.
For experts the book includes formulas (without resorting to proofs) and explains how to calculate each test and statistic. References to further reading are included but aren’t needed as this book covers each procedure so thoroughly.
Of all the books we've read, this is handsdown, the definitive guide for univariate and bivariate statistical analysis. We haven't found another book so comprehensive and complete, yet easy to read and understand. The author really does succeed in his aim: to provide a comprehensive reference for readers at all levels.
The fourth edition of this book was published last year, with over 500 new pages, now covering topics such as multivariate analysis, clinical trials and survival analysis.
You can read more about the book and buy it online at Amazon (UK) and Amazon (US).
Contents (from the 3rd edition): 

Introduction 
1 
Outline of Inferential Statistical Tests and Measures of Correlation/Association 
107 
Guidelines and Decision Tables for Selecting the Appropriate Statistical Procedure 
113 
Inferential Statistical Tests Employed with a Single Sample 
119 
The SingleSample z Test 
121 
The SingleSample t Test 
135 
The SingleSample ChiSquare Test for a Population Variance 
161 
The SingleSample Test for Evaluating Population Skewness 
173 
The SingleSample Test for Evaluating Population Kurtosis 
181 
The Wilcoxon SignedRanks Test 
189 
The KolmogorovSmirnov GoodnessofFit Test for a Single Sample 
203 
The ChiSquare GoodnessofFit Test 
219 
The Binomial Sign Test for a Single Sample 
245 
The SingleSample Runs Test (and Other Tests of Randomness) 
337 
Inferential Statistical Tests Employed with Two Independent Samples (and Related Measures of Association/Correlation) 
373 
The t Test for Two Independent Samples 
375 
The MannWhitney U Test 
423 
The KolmogorovSmirnov Test for Two Independent Samples 
453 
The SiegelTukey Test for Equal Variability 
465 
The Moses Test for Equal Variability 
479 
The ChiSquare Test for r x c Tables (Test 16a: The ChiSquare Test for Homogeneity; Test 16b: The ChiSquare Test of Independence (employed with a single sample)) 
493 
Inferential Statistical Tests Employed with Two Dependent Samples (and Related Measures of Association/Correlation) 
573 
The t Test for Two Dependent Samples 
575 
The Wilcoxon MatchedPairs SignedRanks Test 
609 
The Binomial Sign Test for Two Dependent Samples 
621 
The McNemar Test 
633 
Inferential Statistical Tests Employed with Two or More Independent Samples (and Related Measures of Association/Correlation) 
665 
The SingleFactor BetweenSubjects Analysis of Variance 
667 
The KruskalWallis OneWay Analysis of Variance by Ranks 
757 
The Van der Waerden NormalScores Test for k Independent Samples 
781 
Inferential Statistical Tests Employed with Two or More Dependent Samples (and Related Measures of Association/Correlation) 
795 
The SingleFactor WithinSubjects Analysis of Variance 
797 
The Friedman TwoWay Analysis of Variance by Ranks 
845 
The Cochran Q Test 
867 
Inferential Statistical Test Employed with Factorial Design (and Related Measures of Association/Correlation) 
885 
The BetweenSubjects Factorial Analysis of Variance 
887 
Measures of Association/Correlation 
943 
The Pearson ProductMoment Correlation Coefficient 
945 
Spearman's RankOrder Correlation Coefficient 
1061 
Kendall's Tau 
1079 
Kendall's Coefficient of Concordance 
1093 
Goodman and Kruskal's Gamma 
1109 
Appendix: Tables 
1123 
Index 
1175 