ASBC Methods of Analysis - Statistical Analysis-6: Comparison of Microbiological Data
ASBC Methods of Analysis
Comparison of Microbiological Data
Microbiological experiments often generate data that cannot be analyzed using traditional parametric statistical techniques, such as t tests and analysis of variance. Such data are often categorical, meaning that the data are grouped into categories such as growth, no growth, too numerous to count (TNTC), etc. The method discusses the contingency table approach, which can assist in the statistical analysis of such categorical data, and the Kruskal-Wallis signed rank test, a nonparametric one-way analysis of variance test used to determine whether two or more groups are different.