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 ...

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.

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 ...

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 ...

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 ...