Sample size is an important component of statistical significance. Larger samples are less prone to flukes. Only randomly chosen, representative samples should be used in significance testing.

Statistical significance is a determination that a relationship between two or more variables is caused by something other than chance. Statistical significance is a determination made by an ...

The paper points out that by looking at large datasets in enough different ways, it is easy to find examples that pass the usual criteria for statistical significance, even though they are really ...

Significance testing ... In such cases, there may be ways of efficiently improving statistical power, for example, by taking either longitudinal approaches (that is, multiple measurements of ...

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 ...

But business relevance (i.e., practical significance) isn’t always the same thing as confidence that a result isn’t due purely to chance (i.e., statistical significance). This is an important ...

Search Engine Land » PPC » Statistical Significance: Not Just For Geeks Anymore Chat with SearchBot Please note that your conversations will be recorded. The concept of “statistical ...

To understand why, consider this example ... a philosopher of statistics at Virginia Tech, puts it. When p-values are treated as a way to sort results into bins labeled significant or not ...