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Find the z-score

Now that you know the spread of heights from the survey, you want to dig further into the survey. Remember, part of survey, young_people, asked for respondents' Gender, Age, Height, and Weight.

In this exercise, you will find outliers in the height column.

pandas and scipy.stats have been loaded for you as pd and stats, respectively.

Diese Übung ist Teil des Kurses

Analyzing Survey Data in Python

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Anleitung zur Übung

  • Find the z-score of the Height column.
  • Find the outliers in Height_zscore for this survey.

Interaktive Übung

Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.

# z-score of `Height` column
young_people['Height_zscore'] = ____.____(young_people.____)

# Outliers in `Height_zscore`
height_outliers = young_people[
  (young_people.____>=____)
  |(young_people.____<=____)
]
print(height_outliers)
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