Question

You and your friend are both collecting data for a joint data science project. Your friend has collected four times as much data as you have, but their data is from fairly homogenous sources. You have less sources, but more diversity. The two data sets produce different results. Your friend states their’s are correct. What kind of bias is the design displaying?(1 point)
Responses

racial bias
racial bias

gender bias
gender bias

information bias
information bias

attribution bias

Answer 1

The situation described seems to illustrate **information bias**. This type of bias occurs when the data collected is not representative or is limited in scope, which can lead to incorrect or misleading conclusions. In this case, your friend's data is from homogenous sources, which may not accurately reflect the broader reality, leading them to assert their results are correct despite the diverse data you have collected.