Complexity is the disease.
Bootstrap, permutation, and other tests have revolutionized 1990's statistics. Resampling is now the method of choice for confidence limits, hypothesis tests, and other everyday inferential problems. In place of the formidable formulas and mysterious tables of parametric and non-parametric tests based on complicated mathematics and arcane approximations, the basic tools are simulations, created especially for the task at hand by practitioners who completely understand what they are doing and why they are doing it. Resampling lets you analyze most sorts of data, even those that cannot be analyzed with formulas. Select here for examples .