Non-parametric Techniques of Hypothesis testing

The last section of CQE Primer is called Advanced Statistical Methods and it's an interesting but difficult and time-cunsuming section. (I'm still tackling with it as the text is very bad and I have to use another references, mostly online) A part which I'm currently busy with is Non-parametric Techniques of Hypothesis testing. This type of Hypothesis testing is used for the data and gathered numerical information which do not fit to any distribution. Chi-square, Z, F and t are the distributions used in hypothesis testing. There are three main techniques that mostly help Q. Engineers. They are: Kendall Coeficient of Concordance, Spearman Rank Correlation Coefficient and Kruskal-Wallis one-way Analysis of Variance. I'll give u practical examples in the next writings.