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 ...

How many statisticians does it take to ensure at least a 50 percent chance of a disagreement about p-values? According to a tongue-in-cheek assessment by statistician George Cobb of Mount Holyoke ...

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 ...

For researchers there's a lot that turns on the p value, the number used to determine whether a result is statistically significant. The current consensus is that if p is less than .05, a study has ...

Last week a team of 72 scientists released the preprint of an article attempting to address one aspect of the reproducibility crisis, the crisis of conscience in which scientists are increasingly ...

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 ...