INVOLVE FOOTBALL. IMAGINE A FOOTBALL TEAM WITH 20 PLAYERS. DURING ITS FIRST SEASON TEN AYPLERS WEAR HELMETS ON THE FIELD AND TEN DO NOT. AT THE END OF THE SEASON TWO OF THE HELMETED PLAYERS HAVE HAD ...

Understanding some statistics is important for general science literacy. Below are some common statistics resources that may be useful for your project work. To support your professional development, ...

A common statistical problem involves the testing of a K-dimensional parameter vector. In both parametric and semiparametric settings, two types of directional tests - linear combination and ...

There are many statistics that have factored into decisions to tighten or loosen COVID-19 mitigation efforts during the ongoing pandemic. Positivity rate has been one of the most common statistics ...

Through the end of the year, staffers are looking back at and following up on articles and topics that resonated strongly with our readers in 2018, according to metrics on lohud.com. This column is ...

The t-test and analysis of variance (ANOVA) are two of the most common statistical techniques used in practice. These techniques allow researchers to statistically assess the plausibility that a ...

Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...

With the recent first light milestone for the Vera Rubin Observatory, it's only a matter of time before one of astronomy's most long-awaited surveys begins. The Legacy Survey of Space and Time (LSST) ...

On Tuesday, October 21, the second LISA short course will be on how to do common statistical tests such as ANOVA (ANalysis Of VAriance), MANOVA (Multiple ANOVA for when you have multiple responses), ...