Compute the standard deviation of given dataset

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

Volumes = [21.100, 18.400, 20.600, 20.100, 18.900, 18.800, 19.900, 20.200, 20.600, 22.200, 21.000];

Volumes = {21.100, 18.400, 20.600, 20.100, 18.900, 18.800, 19.900, 20.200, 20.600, 22.200, 21.000};

import numpy as np

Volumes = np.array([21.100, 18.400, 20.600, 20.100, 18.900, 18.800, 19.900, 20.200, 20.600, 22.200, 21.000])

Volumes = c(21.100, 18.400, 20.600, 20.100, 18.900, 18.800, 19.900, 20.200, 20.600, 22.200, 21.000)

from sympy import *

Volumes = Matrix([21.100, 18.400, 20.600, 20.100, 18.900, 18.800, 19.900, 20.200, 20.600, 22.200, 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 09:11:01 (CDT)

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{
  "std": 1.0764189174993228
}

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