Sampling Methods and Bias with Surveys - Crash Course Statistics

The video explores non-experimental methods in statistics, focusing on surveys. It discusses the importance of well-constructed surveys, highlighting potential biases in questions and sampling. Various sampling techniques, such as random sampling and stratified sampling, are explained. The video also covers the significance of a census and concludes with cautions about survey biases and their value in data collection.

What is stratified random sampling and how does it differ from simple random sampling?

Discuss the challenges of conducting a census.

Why is it important to check the credibility of a poll?

What are the advantages of well-designed surveys compared to experiments?