Compute the standard deviation of a sample using numpy

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Christian Lawson-Perfect

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Christian Lawson-Perfect

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Needs to be tested

3 years, 1 month ago

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Christian Lawson-Perfect 1 year, 10 months ago

Published this.

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Christian Lawson-Perfect 3 years, 1 month ago

Gave some feedback: Needs to be tested

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Christian Lawson-Perfect 3 years, 2 months ago

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Name	Status	Author	Last Modified
Compute the standard deviation of a sample using numpy	Needs to be tested	Christian Lawson-Perfect	10/05/2023 13:29
Compute the standard deviation of a sample using numpy	Ready to use	Christian Lawson-Perfect	23/11/2023 11:36

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A set of measurements is stored in the variable sample.

Compute the standard deviation of the sample.

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import numpy
numpy.std(sample)

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import numpy
​
# Now compute the standard deviation of sample
​

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from random import random
sample = [random()*10 for i in range(20)]

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studentAnswer = _
import numpy

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[
  ["Standard deviation computed", 1, """
studentAnswer == numpy.std(sample)
"""]
]

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The numpy function std computes the standard deviation of an array.

{code_block("import numpy\nnumpy.std(sample)","python")}

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This question is used in the following exam:

Programming extension demo by Christian Lawson-Perfect in Programming extension.

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Compute the standard deviation of a sample using numpy

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Taxonomy: mathcentre

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Taxonomy: Context