Compute the standard deviation of given dataset

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

Volumes = [20.700, 21.000, 21.700, 17.000, 20.300, 19.500, 21.600, 18.500, 21.000];

Volumes = {20.700, 21.000, 21.700, 17.000, 20.300, 19.500, 21.600, 18.500, 21.000};

import numpy as np

Volumes = np.array([20.700, 21.000, 21.700, 17.000, 20.300, 19.500, 21.600, 18.500, 21.000])

Volumes = c(20.700, 21.000, 21.700, 17.000, 20.300, 19.500, 21.600, 18.500, 21.000)

from sympy import *

Volumes = Matrix([20.700, 21.000, 21.700, 17.000, 20.300, 19.500, 21.600, 18.500, 21.000])

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 08:00:21 (CDT)

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{
  "std": 1.4659931113307239
}

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