Discover how sample size neglect impacts statistical conclusions and learn to avoid this cognitive bias studied by renowned experts like Tversky and Kahneman.

This study verified whether sample size would affect the precision of the analysis of variance in experiments with cauliflower seedlings. An experiment was carried ...

Abstract: Cross-variance is a variance concept between two samples, where it is defined by using the second sample average to compute the first sample variance and reversely. In this paper we ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...

We know it's not easy to write an obituary. You're probably grieving, and it can be hard to know exactly what's important to include or what to say to honor your loved one's memory. Take a deep breath ...

We’ll pick up from the previous section on hierarchical modeling with Bayesian meta-analysis, which lends itself naturally to a hierarchical formulation, with each study an “exchangeable” unit. Let’s ...

Sample variance, often denoted as ‘s^2,’ is a measure used to determine how spread out a data set is. It helps reveal the degree to which the individual data points differ from the mean value of the ...

Sample variance is a statistical measure used to determine the dispersion and variability of a dataset. By calculating sample variance, you can have a better understanding of how varied an array of ...