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What does the function np.std() calculate for a given numpy array?

easy📝 Conceptual Q1 of 15
NumPy - Aggregation Functions
What does the function np.std() calculate for a given numpy array?
AThe sum of all elements in the array
BThe standard deviation, which shows how spread out the numbers are
CThe average (mean) value of the array
DThe maximum value in the array
Step-by-Step Solution
Solution:

  1. Step 1: Understand the purpose of np.std()

    np.std() calculates the standard deviation, a measure of spread in data.

  2. Step 2: Compare with other options

    Sum, mean, and max are different calculations, not related to spread.

  3. Final Answer:

    The standard deviation, which shows how spread out the numbers are -> Option B

  4. Quick Check:

    Standard deviation = spread measure [OK]
Quick Trick: np.std() always measures spread as standard deviation [OK]
Common Mistakes:
  • Confusing std with mean
  • Thinking std returns sum
  • Mixing std with max value

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