Central limit theorem – a worked example

Formal definition: Provided enough samples are taken, the sample distribution of the sample mean will be normally distributed, regardless of the population. Basically:

With enough samples this also happens:

Which ultimately allows us to calculate the Z-score:

And using a Z-table, this allows us to find the probability of a value being <= x

Here is an example of how it can be used!

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