top of page
This site was designed with the
.com
website builder. Create your website today.Start Now

The lesson will explore the idea of validity and bias in representations of data. Students will be given different sets of data and be asked to interpret them. For example, students may be given the graduation data broken down by ethnic or socioeconomic  subgroups from the district with key information blocked off, such as presenting only percentages to one group, while another  group receives raw data with no percentages. Different groups will be given different representations of the same set of data.  

Students will then watch a video about the presentation of data 

(https://www.ted.com/talks/susan_etlinger_what_do_we_do_with_all_this_big_data) to think about the data they just interpreted. 

They will then be given the raw data and be asked to discuss what drives the different representations of the data they interpreted at  the beginning of class.

 

TOK Questions

What is “fair representation” of data?

Do statistics lie?

Are all statistics accurate?

bottom of page