Final answer:
Nonresponse bias occurs when there is a difference between survey responders and non-responders, affecting data accuracy.
Explanation:
Nonresponse bias occurs when there is a difference between those who respond to a survey and those who do not, leading to potential inaccuracies in the data collected. In this scenario, selecting 100 users but only having 25 respond introduces a risk of nonresponse bias. This bias can impact the validity and generalizability of the findings from the survey.
Learn more about Nonresponse bias here:
https://brainly.com/question/36222588
