The Central Limit theorem underpins much of traditional inference. In this video Dr Nic explains what it entails, and gives an example using dragons.
0:00 Introduction
0:30 Background
0:40 Sampling Distribution of the mean
1:15 Overview of four aspects
1:50 Dragon example
3:00 Samples of n=4
3:55 Aspect 1 - spread is smaller
4:15 Aspect 2
4:50 Aspect 3
5:26 Aspect 4 - sample size effect
6:10 Important notes

There is a really helpful blogpost here also: [ Ссылка ]

See [ Ссылка ] for all of Dr Nic's videos organised by topic.
You can buy Dragonistics data cards at our shop at: [ Ссылка ]
#Statistics #Probability #DrNicStats

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