Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...

In science, the success of an experiment is often determined by a measure called “statistical significance.” A result is considered to be “significant” if the difference observed in the experiment ...

A recent study that questioned the healthfulness of eggs raised a perpetual question: Why do studies, as has been the case with health research involving eggs, so often flip-flop from one answer to ...

When was the last time you heard a seminar speaker claim there was ‘no difference’ between two groups because the difference was ‘statistically non-significant’? If your experience matches ours, there ...

It’s too often misused and misunderstood. by Amy Gallo When you run an experiment or analyze data, you want to know if your findings are “significant.” But business relevance (i.e., practical ...

The current way many researchers apply p-values to draw conclusions on statistical significance is incorrect and unhelpful, three scientists argue in a Nature commentary published yesterday (March 20) ...

The perennial question facing all banks is, “What volume of lending in Majority-Minority census tracts and mortgages extended to minority home borrowers must we do to avoid redlining allegations by ...

It’s too often misused and misunderstood. by Amy Gallo When you run an experiment or analyze data, you want to know if your findings are “significant.” But business relevance (i.e., practical ...