Enough of this abstract statistical stuff: how do we use these things in the laboratory? This article shows you the practical application of statistics on the bench-level, including how to find the bias and other important stats.
More on scattergrams, variables independent and depente, variances explained and unexplained, and deviations squared and unsquared.
How much do you trust the numbers your laboratory produces? There's a statistical way to determine just how much.
Learn about r squared, Pearons Products, and other things that will make you want to regress.
ANOVA. No, this isn't a PBS show, it's the analysis of variance. While this is the statistician's passion, it's a bit less thrilling for laboratory personnel. Dr. Zady simplifies the topic and makes it easier to understand and implement ANOVA in a healthcare situation.