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Bias and Sampling Worksheet
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Bias and Sampling Worksheet
📊 Part 1: Multiple Choice
1. What is bias in data collection?
A. Using a calculator to find the mean
B. Unfair skewing of data due to poor sampling methods
C. Collecting data from everyone in the population
D. Making a graph of your results
2. In random sampling, each member of the population has:
A. No chance of being selected
B. A better chance if they are popular
C. An equal chance of being selected
D. A chance only if they volunteer
3. Which of the following is an example of biased sampling?
A. Drawing names from a hat after mixing them up
B. Surveying only your friends about favorite music
C. Using a computer to randomly select participants
D. Numbering everyone and using a random number generator
4. Which methods help create random samples? (Check all that apply)
Drawing names from a thoroughly mixed container
Using a random number generator
Asking only students in the front row
Selecting every 5th person from a shuffled list
🔍 Part 2: Identifying Bias in Scenarios
5. A student wants to know the favorite sport at school. She surveys only the basketball team. Is this biased or random sampling?
Answer: _________________ sampling
Explain why: ________________________________________________________
6. A researcher puts all 200 student names in a computer program and randomly selects 20 students to survey about lunch preferences. Is this biased or random sampling?
Answer: _________________ sampling
Explain why: ________________________________________________________
7. To find out about TV watching habits, a pollster only calls people during weekday afternoons. What type of bias might this create?
8. You want to survey students about homework time. Describe how you would create a random sample from your school.
✏️ Part 3: Short Answer Questions
9. Why is random sampling important for getting accurate data? Give two reasons.
10. A news station wants to predict election results. They survey people leaving a country music concert. Explain what's wrong with this sampling method and suggest a better approach.
11. Create your own example of biased sampling and explain why it would lead to unreliable results.
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