How can the *Normal Distribution* arise out of a completely symmetric set-up? The so-called *Central Limit Theorem (CLT)* is a fascinating example that demonstrates such behaviour. If you want to get some intuition on what lies at the core of many statistical tests, read on!

Continue reading “The Central Limit Theorem (CLT): From Perfect Symmetry to the Normal Distribution”

# Month: October 2020

## “You Are Here”: Understanding How GPS Works

Last week, I showed you a method of how to find the fastest path from A to B: Finding the Shortest Path with Dijkstra’s Algorithm. To make use of that, we need a method to determine our position at any point in time.

For that matter, many devices use the so-called *Global Positioning System (GPS)*. If you want to understand how it works and do some simple calculations in R, read on!

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## Finding the Shortest Path with Dijkstra’s Algorithm

I have to make a confession: when it comes to my sense of orientation I am a total failure… sometimes it feels like GPS and Google maps were actually invented for me!

Well, nowadays anybody uses those practical little helpers. But how do they actually manage to find the shortest path from A to B?

If you want to understand the father of all routing algorithms, *Dijkstra’s algorithm*, and want to know how to program it in R read on!

Continue reading “Finding the Shortest Path with Dijkstra’s Algorithm”

## 3.84, or How to Detect BS (Fast)

In From Coin Tosses to p-Hacking: Make Statistics Significant Again! I explained the general principles behind *statistical testing*, here I will give you a simple method that you could use for quick calculations to check whether something fishy is going on (i.e. a fast statistical BS detector), so read on!

Continue reading “3.84, or How to Detect BS (Fast)”