Software : You will need to download the free Excel add-in MegaStat 10.2 to solve the numerical examples. Here is the link to download the add-in.
Notes : Workshop notes (original); mostly handwritten (but with some typos). The actual handwritten notes from the workshop are here.
Many data sets of populations approximate normal distributions. For example, the GMAT scores of 2003 admissions are approximately normal. This is also true, in general, for exam scores, IQ scores, etc.
However, in many cases population data do not exhibit normality. Here is an example: 2013 McMaster salaries. When this is the case, we need to use nonparametric statistics.
Hypothesis testing for a single population (review) : GMAT-1.xlsx
Hypothesis testing for two populations (review) : GMAT-2.xlsx
ANOVA for multiple populations : GMAT-3.xlsx
Sign test (single population) : GMAT-1-Sign.xlsx
Mann-Whitney test (two populations) : GMAT-2-MannWhitney.xlsx
Kruskal-Wallis test (multiple populations) : GMAT-3-KruskallWallis.xlsx