Stratified sampling
You are a part of an agency that sent out a youth survey to a nationally representative sample of youths, ages 14 to 20 years old. The uploaded dataset, youth_survey
, tracks the Age
, Height (in inches)
, Weight (in pounds)
, Gender
, and the self-reported How would you describe your weight?
multiple choice answers for the individuals.
In this exercise, you will create a stratified, weighted sample of 1% of respondents from the dataset. pandas has been imported as pd
.
The dataset contains information on all respondents' genders, so you will be using the Gender
column as the stratifying column.
This exercise is part of the course
Analyzing Survey Data in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Calculate the percentage of female and male respondents
print(youth_survey.Gender____(normalize=____) * 100)