👨🎓 Student Information
📋 Instructions
Biased Data: Information collected in a way that favors certain outcomes or excludes important perspectives. This can lead to unfair or inaccurate conclusions.
Unbiased Data: Information collected fairly from representative samples using proper methods. This leads to more accurate and trustworthy conclusions.
How to complete: Drag each scenario below into the correct category. Think carefully about whether the data collection method could lead to unfair or skewed results.
❌ Biased Example
Surveying only students from one school about nationwide education policy
✅ Unbiased Example
Random survey of students from schools across different regions and demographics
Survey about school lunch quality only given to students who buy lunch
Random sample of all students asked about school lunch preferences
Movie review website that only shows 5-star reviews
Movie rating system showing all reviews from verified viewers
Job satisfaction survey sent only to employees who got promotions
Anonymous job satisfaction survey sent to all employees
Social media poll about politics shared only in partisan groups
Scientific poll using random sampling across political parties
Study on video game effects using only participants who already dislike gaming
Research on gaming effects with randomly selected participants
College admissions data that excludes certain demographic groups
Standardized test scores from representative sample of all test-takers
Health study conducted only in wealthy neighborhoods
Health research including participants from diverse economic backgrounds
App store reviews after deleting negative feedback
Product reviews showing both positive and negative feedback
❌ Biased Data
Drop scenarios that show unfair or skewed data collection
✅ Unbiased Data
Drop scenarios that show fair and representative data collection