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Computing percentiles

In this exercise, you will compute the percentiles of petal length of Iris versicolor.

This exercise is part of the course

Statistical Thinking in Python (Part 1)

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Exercise instructions

  • Create percentiles, a NumPy array of percentiles you want to compute. These are the 2.5th, 25th, 50th, 75th, and 97.5th. You can do so by creating a list containing these ints/floats and convert the list to a NumPy array using np.array(). For example, np.array([30, 50]) would create an array consisting of the 30th and 50th percentiles.
  • Use np.percentile() to compute the percentiles of the petal lengths from the Iris versicolor samples. The variable versicolor_petal_length is in your namespace.
  • Print the percentiles.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Specify array of percentiles: percentiles


# Compute percentiles: ptiles_vers


# Print the result
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