Analysis of variance (ANOVA) is a statistical analysis tool that separates total variability found within a data set into two components: random and systematic factors.

This short course provides an overview of statistical analyses useful for comparing the means for one or more samples. The statistical training will include the discussion of the one sample t-test, ...

On Tuesday, October 21, the second LISA short course will be on how to do common statistical tests such as ANOVA (ANalysis Of VAriance), MANOVA (Multiple ANOVA for when you have multiple responses), ...

Homogeneity of variance is the assumption that your data sets are equal in variance. It allows for the validation of ...

Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...

Tracie Lee, a lecturer in the College of Business and Economics, has significantly expanded educational resources for students by recording 21 new Excel tutorial videos for McGraw Hill.

Journal of the Royal Statistical Society. Series C (Applied Statistics) An Elliott Autocode programme for the analysis of factorial experiments and some related ...

Making inferences about population differences based on samples of data, that is, performing intuitive analysis of variance (IANOVA), is common in everyday life. However, the intuitive reasoning of ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...