Compute the standard deviation of given dataset

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

Volumes = [23.700, 20.200, 20.800, 19.100, 19.200, 20.600, 19.600, 20.700, 19.400, 20.000, 19.300];

Volumes = {23.700, 20.200, 20.800, 19.100, 19.200, 20.600, 19.600, 20.700, 19.400, 20.000, 19.300};

import numpy as np

Volumes = np.array([23.700, 20.200, 20.800, 19.100, 19.200, 20.600, 19.600, 20.700, 19.400, 20.000, 19.300])

Volumes = c(23.700, 20.200, 20.800, 19.100, 19.200, 20.600, 19.600, 20.700, 19.400, 20.000, 19.300)

from sympy import *

Volumes = Matrix([23.700, 20.200, 20.800, 19.100, 19.200, 20.600, 19.600, 20.700, 19.400, 20.000, 19.300])

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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2026-09-19 06:11:40 (CDT)

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{
  "std": 1.2455540769784688
}

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