One person you wouldn’t expect to hear tout a statistical fallacy is Warren Buffett, but the legendary investor appeared to ...

The number apparently didn’t cross the statistical significance bar, which had an alpha assignment of 0.0001. The analysis was performed when 39% of prespecified deaths for the final analysis ...

The Pacers shockingly trumped the Boston Celtics in a significant statistical category. Over the past 10 games, the Pacers' 6-4 record doesn't pose as a juggernaut team. However, upon digging ...

This distinction between statistical and economic significance is crucial. In academia, research that doesn’t meet the p-value threshold is often rejected by journals, effectively burying ideas ...

To measure a p-value, use the function =T.TEST. Statistical significance is used to gauge the likelihood that a relationship exists between two variables, based on observational data. Contrary to ...

Understanding the results of a t-test is crucial for interpreting your data's story. When you perform a t-test, you're essentially comparing the means of two groups to see if there is a ...

Again, this boils down to a question of statistical significance. The theory underlying these perennial questions in the domain of small sample sizes wasn’t developed until Guinness came on the ...

Statistical significance is a determination made by an analyst that the results in data aren't explainable by chance alone. An analyst makes this determination by using statistical hypothesis testing.

“Recommendation to wear a surgical mask when outside the home among others did not reduce, at conventional levels of statistical significance, incident SARS-CoV-2 infection compared with no mask ...