Skip Navigation Links
METHODS
Shortcuts
About
FAQ
Subscribe
Skip Navigation Links
Methods Home
All Methods
Calculators / eXtras
Tables and Tools
Identification Guides
Beer Flavor Database
Hop Flavor Database
Flavor Standard
Spiking Calculator
Training
Lab Basics


Skip Navigation Links

Safety Statement
Propose a Method
Cite a Method
Technical Sub Committees
Archived Methods
Check Sample Program
Prefaces to Earlier Editions
ASBC Methods of Analysis - Statistical Analysis-6: Comparison of Microbiological Data

ASBC Methods of Analysis

Statistical Analysis

Statistical Analysis-6
Comparison of Microbiological Data

VIEW METHOD

Summary
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.