Stratified Sampling:
Stratified sampling is a method of random sampling. In stratified sampling, the population is first divided into homogeneous groups, also called strata. Then, elements from each stratum are selected at random according to one of the two ways: (i) the number of elements drawn from each stratum depends on the stratum´s size in relation to the entire population (“proportionate” sampling), (ii) the number of elements sampled from each stratum is not proportionate to the size of the stratum (“disproportionate” sampling); in this case, an equal number of elements is typically drawn from each stratum and the results are weighted according to the stratum´s size in relation to the entire population.
Browse Other Glossary Entries
Test Yourself
Planning on taking an introductory statistics course, but not sure if you need to start at the beginning? Review the course description for each of our introductory statistics courses and estimate which best matches your level, then take the self test for that course. If you get all or almost all the questions correct, move on and take the next test.
Data Analytics
Considering becoming adata scientist, customer analyst or our data science certificate program?
Analytics Quiz
Advanced Statistics Quiz
Statistics Quiz
Courses
Find the right course for you
Contact Us
We'd love to answer your questions
Our mentors and academic advisors are standing by to help guide you towards the courses or program that makes the most sense for you and your goals.
300 W Main St STE 301, Charlottesville, VA 22903
(434) 973-7673
ourcourses@statistics.com