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Compute the standard deviation of given dataset

You are given a random sample of Volumes from Arby's soda machine.

1	Volumes = [20.700, 17.000, 22.400, 19.200, 19.400, 21.800, 18.100, 19.800];

1	Volumes = {20.700, 17.000, 22.400, 19.200, 19.400, 21.800, 18.100, 19.800};

import numpy as np

Volumes = np.array([20.700, 17.000, 22.400, 19.200, 19.400, 21.800, 18.100, 19.800])

1	Volumes = c(20.700, 17.000, 22.400, 19.200, 19.400, 21.800, 18.100, 19.800)

from sympy import *

Volumes = Matrix([20.700, 17.000, 22.400, 19.200, 19.400, 21.800, 18.100, 19.800])

Compute the standard deviation from the random sample Volumes:

standard deviation = oz

Correct answer

standard deviation = 1.68893457541 oz

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Compute the standard deviation of given dataset

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2026-08-04 22:55:30 (CDT)

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{
  "std": 1.6889345754054534
}

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