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.

Sample size is an important component of statistical significance ... factor could be responsible for the observed data. The opposite of the significance level, calculated as 1 minus the ...

For example, consider a series of ... On top of this, the rigid focus on statistical significance encourages researchers to choose data and methods that yield statistical significance for some ...

This is an important distinction; unfortunately, statistical significance is often misunderstood and misused in organizations today. And yet because more and more companies are relying on data to ...

In science, it can be much too easy to game and tweak statistics to achieve significance. And from this chart, you’ll see: Yes, you can obtain a p-value of greater than .05 when an experimental ...

More stringent thresholds of significance are needed for most fields, which currently assume statistical significance when P values are less than 0.05 (see, for example, D. J. Benjamin et al.