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 ...

The t statistic is used in the context of a t-test when doing hypothesis testing. Hypothesis tests start with a null hypothesis (Ho) which states there is no statistically significant difference.

Though this isn’t what it actually means in practice. “Statistical significance” is too often misunderstood — and misused. That’s why a trio of scientists writing in Nature this week are ...

A t-test is an inferential statistic used to determine if there is a significant difference between the means of two groups and how they are related. T-tests are used when the data sets follow a ...

Partially because of the potential challenges of change, some scientists don’t want to throw out statistical significance cutoffs just yet. Some want to start by raising the bar. Instead of P ...

With the proposal, “you don’t need to train all these millions of people in heavy statistics,” Ioannidis says. “And it would work. It would help.” Redefining statistical significance is ...

The P value doesn't begin to explain the importance of ... In short, significance testing only gives us statistical significance and says nothing about a study's practical significance or clinical ...

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 ...

Veronique Kiermer, publisher and executive editor of the PLOS journals, bemoans the overreliance on statistical significance, but says her journals don't have the leverage to force a change.

Yet these common practices show how reliance on thresholds of statistical significance can mislead us (see ‘Beware false conclusions’). These and similar errors are widespread. Surveys of ...