title: Statistics: detecting differences among groups.
abstract: Some of the statistical tests most commonly used (and misused) in biological research are presented here. The tests discussed are those used for comparisons among groups (e.g., t test and ANOVA). The purpose of this appendix is to enable the investigator to determine rapidly the most appropriate way to analyze data, and to point out some of the most common errors to avoid.
authors.affiliation: Worcester Polytechnic Institute, Massachusetts, USA.
authors.forename: P
authors.initials: P
authors.lastname: Robakiewicz
authors.forename: E F
authors.initials: EF
authors.lastname: Ryder
mesh_terms: D000704:Analysis of Variance; D000818:Animals; D001419:Bacteria / Q000254:growth & development; D015153:Blotting, Western; D003720:Densitometry; D015870:Gene Expression; D047468:Immunoprecipitation; D016555:Matched-Pair Analysis; D051379:Mice; D009154:Mutation; D009391:Nephelometry and Turbidimetry; D016501:Neurites; D013223:Statistics as Topic / Q000379:methods*; D018709:Statistics, Nonparametric