This short course will cover the one sample t-test, the two sample t-test, matched-pairs t-test, one-way ANOVA (Analysis of Variance), two-way ANOVA and ANCOVA (Analysis of Covariance). These ...

The level and power of the usual F-test for the r-way layout in analysis of variance (ANOVA) are vitiated when the assumption of equality of error variances is ...

Variance analysis, also described as analysis of variance or ANOVA, involves assessing the difference between two figures. It is a tool applied to financial and operational data that aims to identify ...

Meta-analysis is a commonly used approach to increase the sample size for genome-wide association searches when individual studies are otherwise underpowered. Here, we present a meta-analysis ...

New to this type of analysis? It's a classic statistics technique that is still useful. Here's a technique for doing a one-way ANOVA using R. Analysis of variance (ANOVA) is a classical statistics ...

Both variance and sensitivity analyses provide useful information to managers of small companies as they seek to increase company performance and reduce the company's risks. While both forms of ...

NextGen Supply Chain Conference returns to Nashville in 2026 with focus on innovation, talent, and transformation The 2026 NextGen Supply Chain Conference returns to Nashville with a practitioner-led ...

In this module, we will introduce the basic conceptual framework for experimental design and define the models that will allow us to answer meaningful questions about the differences between group ...

In most GWAS, the participants are assumed to be unrelated and to come from a single population. However, even in carefully designed studies, some degrees of relatedness and population stratification ...