Compute the standard deviation of given dataset

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

Volumes = [16.500, 20.400, 20.700, 22.200, 20.500, 19.900, 19.600, 19.300, 15.900, 20.500, 17.900];

Volumes = {16.500, 20.400, 20.700, 22.200, 20.500, 19.900, 19.600, 19.300, 15.900, 20.500, 17.900};

import numpy as np

Volumes = np.array([16.500, 20.400, 20.700, 22.200, 20.500, 19.900, 19.600, 19.300, 15.900, 20.500, 17.900])

Volumes = c(16.500, 20.400, 20.700, 22.200, 20.500, 19.900, 19.600, 19.300, 15.900, 20.500, 17.900)

from sympy import *

Volumes = Matrix([16.500, 20.400, 20.700, 22.200, 20.500, 19.900, 19.600, 19.300, 15.900, 20.500, 17.900])

Compute the standard deviation from the random sample Volumes:

standard deviation = oz

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Compute the standard deviation of given dataset

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2026-08-05 00:41:26 (CDT)

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{
  "std": 1.813083761791696
}

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