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what is the ideal number of cell classes required to construct a histogram when there are...

what is the ideal number of cell classes required to construct a histogram when there are 64 sample measurements?

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Answer #1

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In order to find the ideal number of classes required to construct a histogram where there are 64 sample measurements, we will be using 2^k rule.

According to 2^k rule: 2^k >= n

where k is the number of classes.

n is the number of data points.

Applying the rule, here n = 64

Hence 6 is the ideal number of classes

   

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