This chapter summarizes the major Hypothesis test used in lean six sigma with a description. Then, you can go to the specific chapter for more information about the specific test.
- One-sample T-test: Comparing a population mean against a given standard when the sample is small (N<30)
- Two-sample T-test: Comparing means of two different populations when the sample is small (N<30)
- One-sample variance: Is used to test if the variance of a sample is greater/lower than a specified variance
- One-Way ANOVA: Comparing the mean of two or more population
- Mann-Whitney: Used for comparing median between two samples
- Kruskal-Wallis: Test if the difference between two or more median is statistically different if data has an outlier
- Mood’s Median: Test if the difference between two or more median is statistically different
- Friedman: Compare differences between groups
- One-Sample Sign: To test the median of a single population with a specific value.
- One-Sample Wilcoxon: Compare the median between one sample and a hypothesized value.
- One and Two Sample Proportion: It tests proportion in one or two samples.
- Chi-Squared: Test the variance of more population.