P-value (Probability Value): The p-value is a statistical measure used in research to help decide whether the results of a study are likely due to chance. More specifically, it represents the ...

A small p-value often means the observed data effect is statistically significant. Set a significance level to compare with the p-value to validate investment hypotheses. Utilizing p-values in Excel ...

In science and health, we are often looking for results that are considered to be “statistically significant.” The golden rule is if the p-value is less than 0.05, then the result is statistically ...

For decades, scientists have been using the probability value, commonly known as p-value, to test the significance of their findings. The p-value falls from 0 to 1, and the lower the number, the ...

How many ostensibly "positive" studies are wrong? In this deep-dive analysis, MedPage Today clinical reviewer F. Perry Wilson, MD, explains that the number may be much higher than you think. Some ...

Senior Lecturer in Comparative and Environmental Physiology, University of Roehampton How should scientists interpret their data? Emerging from their labs after days, weeks, months, even years spent ...