Experimental design can be both incredibly intuitive and very high-concept when first introduced to learners. This video does a great job of discussing sampling methods and bias simply, without over-reducing the complexity. Multiple examples are presented of both correct and incorrect experiment designs with methods for identifying and correcting problems. A great introduction or refresher in the importance of random sampling and bias prevention for young statisticians.

Concepts

statistics, random sampling, bias, data collection, sampling

Show More Show Less

Additional Tags

math

Show More Show Less

Instructional Ideas

• Divide the class into small groups and have each create and perform a skit demonstrating bias and how to fix it
• Bring in newspapers for the class to look for reported statistical results and discuss potential sampling methods and bias
• Invite a local statistician or PhD into class to discuss experimental design in their research or field

Classroom Considerations

• Video viewing requires the Internet 
• Providing a script of the video might assist learners who need more processing time for the concepts discussed
• Consider pausing the presentation at regular intervals to allow for class questions and discussion

Pros

• Engagingly narrated, not just read off of the slides
• Relevant and simple examples
• Scenarios cover many kinds of errors and corrective actions

Cons

• No printable slides available
• No post-video problems
• The only bias method discussed involves surveys and question wording

Common Core

HSS-IC.A.1