Statistical significance is a result that’s not likely to occur randomly and is likely traceable to an identifiable prompt.

Statistical significance determines that a relationship between two or more variables is caused by something other than chance. It provides a p-value or probability.

Statistical significance alone didn’t lead to the replication crisis. The institutions of science incentivized the behaviors that allowed it to fester. You’ve read 1 article in the last month.

In the example, this happens when Bank A’s MM tract penetration rate is at or below 21.11%, which makes the discrepancy (23.41% - 21.11%) sufficiently large to be statistically significant to ...

The 'Statement on Statistical Significance and P-Values' includes six principles underlying the proper use and interpretation of the p-value and is intended to improve the conduct and ...

What’s remarkable is not only that mid-20 th century psychology textbook writers and publishers fabricated significance testing out of a mishmash of conflicting statistical techniques (SN: 6/7 ...

The case for, and against, redefining “statistical significance.” by Brian Resnick. Jul 31, 2017, 4:00 PM UTC. Andy Baker / Getty Creative Images.

Null hypothesis significance testing (NHST) is the default approach to statistical analysis and reporting in marketing and the biomedical and social sciences more broadly. Despite its default role, ...

Calling time on 'statistical significance' in science research. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2019 / 03 / 190321092229.htm ...