An explanation of HARKing, multiplicity, P-value interpretation, and why HARKing is problematic. Hypothesizing After Results are Known (HARKing) presents as a questionable research practice and a ...

P-values are a mainstay in statistics but are often misinterpreted. We propose a new interpretation of p-value as a meaningful plausibility, where this is to be interpreted formally within the ...

In hypothesis testing and statistical significance, the p-value is a crucial measure that helps make informed decisions. It represents the probability of obtaining results as extreme or more extreme ...

In the world of statistics and data analysis, one term that often surfaces is the p-value. It’s a crucial concept used in hypothesis testing to determine the statistical significance of your results.

Abstract: Distance correlation (dCorr) is a test statistic that can identify non-linear dependence patterns between random variables. Variations of dCorr have been applied in sequences of dependent ...