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Exploring Olympic Downhill Results with PHP Statistics
How-ToMachine Learning

Exploring Olympic Downhill Results with PHP Statistics

via Dev.to TutorialRoberto B.1mo ago

When Franjo von Allmen crossed the finish line in 111.61 seconds at the 2026 Olympic Downhill, he claimed gold. But the raw leaderboard only tells part of the story. How dominant was his performance? How tightly packed was the field? Were there outliers that skewed the results? With the hi-folks/statistics PHP package, you can answer these questions using the same statistical tools that data scientists rely on, right from your PHP code. In this article, we will walk through a real step-by-step analysis of the 2026 Olympic Men's Downhill race results. Installing the package composer require hi-folks/statistics The package requires PHP 8.2+, and you can find the sources here on GitHub: https://github.com/Hi-Folks/statistics . The data We start with the official race results, 34 athletes, each with a name and finish time in seconds: $results = [ [ "name" => "Franjo von ALLMEN" , "time" => 111.61 ], [ "name" => "Giovanni FRANZONI" , "time" => 111.81 ], [ "name" => "Dominik PARIS" , "time"

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