Proportional stratified sampling
If you are interested in subgroups within the population, then you may need to carefully control the counts of each subgroup within the population. Proportional stratified sampling results in subgroup sizes within the sample that are representative of the subgroup sizes within the population. It is equivalent to performing a simple random sample on each subgroup.
attrition_pop is available; pandas is loaded with its usual alias.
This exercise is part of the course
Sampling in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Proportion of employees by Education level
education_counts_pop = ____
# Print education_counts_pop
print(education_counts_pop)