PocketStat 1.6.3

In contemporary discourse, distinguishing between speculation and significance poses a significant challenge. PocketStat emerges as a statistical fact-checking tool designed to alleviate this burden. It allows users to efficiently evaluate statistical claims across various contexts such as academic manuscripts, seminars, presentations, educational courses, and assignments.

With PocketStat, users can address critical inquiries, such as whether the means of two groups show significant differences or if two correlations vary significantly. Additionally, it offers the ability to estimate population means when only median values are available.

The tool includes several calculators tailored for common statistical tasks. Its power calculators facilitate quick estimations of the required sample size for studies or let users assess if an existing study has an adequate sample. The application also computes the chi-square statistic for 2 × 2 contingency tables and performs single-sample t-tests. For those opting for PocketStat Premium, features expand to include chi-square calculations in matrices as large as 6 × 10, alongside two-sample t-tests (both independent and correlated).

While PocketStat may not resolve all ambiguities between truths and alternative interpretations, it represents a valuable step towards more rigorous statistical assessment.

IMPORTANT CAVEAT: PocketStat does not employ statistical libraries; therefore, "p" values are derived from closed-form equations. While these values closely approximate actual p-values, they are intended for estimative use only and not for publication purposes.