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Tag: multinomial

Is numpy.random.choice with replacement equivalent to multinomial sampling for a single trial?

I understand that strictly on concept, they are different. But in a single trial (or experiment) for numpy.random.multinomial, is it sampling the same way as numpy.random.choice though giving a different view of the output? For example: Output gives the identity of what was picked in the array [0,1,2,3,4,5] and Output gives the number of times each choice was picked, but

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