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.

The t-test and analysis of variance (ANOVA) are two of the most common statistical techniques used in practice. These techniques allow researchers to statistically assess the plausibility that a ...

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, ...

Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data. Having data is only half the battle. How do you know your data actually ...

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

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.