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Code to simulate the Central Limit Theorem

The central limit theorem states that: Given a dataset with unknown distribution (it could be uniform, binomial or completely random), the sample means will approximate the normal distribution.

Install requirements using:

pip install -r requirements.txt

Run code using:

python central_limit_theorem.py

To try out different values of sample size modify the sample_size_list.

To try out different values of sample count modify the sample_count_list.

plots/ directory contains a few sample plots showing the central limit theorem.

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Code to simulate the Central Limit Theorem

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