These notes were prepared for a seminar on statistical methods I taught at the University of Utah in summer 2015. The methods discussed in this seminar are essential for experimental work but are not readily accessible. Many times such methods are taught across various statistics courses and prevent researchers from seeing how they can be easily used in their research papers.
Feel free to use these notes. These notes should be quite easy to follow if you have taken some basic experiment data analysis course and are familiar with t-test, ANOVA etc.
The topics covered in the notes include power analysis, Monte Carlo Simulations, outlier detection, effect size, bootstrap effect size, and quantile regression.