Brian Beers is a digital editor, writer, Emmy-nominated producer, and content expert with 15+ years of experience writing about corporate finance & accounting, fundamental analysis, and investing.

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 ...

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 ...

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 ...

Learn how the probability density function (PDF) helps financial analysts assess the distribution of stock or ETF returns, ...

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 ...

P values indicate how incompatible the observed data may be with a null hypothesis; “P<0.05” implies that a treatment effect or exposure association larger than that observed would occur less than 5% ...

Here’s a good idea for the next presidential candidate debate: They can insult each other about their ignorance of statistics. Actually, it’s a pertinent topic for political office seekers, as public ...