Bias Analysis Worksheet
Name: ________________________ Date: ________________
Instructions: Read each scenario below. For each, identify whether it illustrates a cognitive bias or a statistical bias, name the specific bias at work, and explain how it affects the situation. Use the space provided to write your answers.
Scenario 1
A new smartphone launches at $999. When a competing model later appears for $899, many customers feel it’s a great deal—even though the first phone’s features are very similar to the second.
- Type of bias (cognitive or statistical)?
- Name of specific bias:
- Explanation:
Scenario 2
A doctor evaluates a new treatment by examining only the patients who completed the trial. Those who felt worse dropped out early and aren’t counted.
- Type of bias (cognitive or statistical)?
- Name of specific bias:
- Explanation:
Scenario 3
After hearing about a plane crash on the news, a person starts questioning the safety of air travel even though statistics show flying is safer than driving.
- Type of bias (cognitive or statistical)?
- Name of specific bias:
- Explanation:
Scenario 4
A company reports average salaries by department, but omits how many employees each department has. Managers use the averages to decide where to hire more staff—even though the data are misleading.
- Type of bias (cognitive or statistical)?
- Name of specific bias:
- Explanation:
Scenario 5
A local news outlet shows a graph of crime rates dropping over 10 years, but the vertical axis starts at 80% instead of 0%, exaggerating the decline’s appearance.
- Type of bias (cognitive or statistical)?
- Name of specific bias:
- Explanation:
Scenario 6
A student believes their favorite brand of cereal is the healthiest because they recall positive ads and breakfasts with that cereal more than any others.
- Type of bias (cognitive or statistical)?
- Name of specific bias:
- Explanation:
Extension Challenge:
Think of a real-world example of bias you’ve encountered in news, advertising, or daily life. Describe the situation and identify the bias involved.