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 ...

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 ...

In statistical practice P-values are regularly used to express the amount of evidence in the data, but there is no agreement on how to compute two-sided P-values when the sampling distributions are ...