You have a dataset that follows a Uniform Distribution. You are asked to transform this data so it follows a Normal Distribution. How would you approach this task?
- By adding a constant to each value in the dataset
- By applying the Central Limit Theorem
- By normalizing the dataset using min-max normalization
- By squaring each value in the dataset
A Uniform Distribution can be approximated to a Normal Distribution by the application of the Central Limit Theorem, which states that the sum of a large number of independent and identically distributed variables, irrespective of their shape, tends towards a Normal Distribution.
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