πŸ“ Student Worksheet β€” Session 2: Asking Good Questions

Data Science for Young Minds Β· Grade 3 Β· Ages 8–9
πŸ“š Part 1 β€” Vocabulary
Data question
Biased question
Open question
Closed question
Sample
Biased sample
πŸƒ Part 2 β€” Question Sort

Read each question. Write YES (data can answer) or NO (data cannot answer) in the box.

QuestionYES or NO?
How many students in our class have a pet?
What is the best subject in school?
How many minutes do you spend outside each day?
Why is the sky the most beautiful color?
Which fruit do most students prefer: apple, banana, or orange?
Should we have longer recess?
✏️ Part 3 β€” Fix the Bad Questions

Rewrite each question to make it fair, specific, and data-ready.

❌ Biased question #1
"Don't you think homework is too much?"

My fair version:

❌ Biased question #2
"What is the best lunch?"

My fair version:

❌ Biased question #3
"You like dogs more than cats, right?"

My fair version:

πŸ”¬ Part 4 β€” My Data Question

Write a question you'd like to investigate. It must be fair and answerable with data. You'll use it in Session 3!

My data question:

Answer choices I'll give people:

Who I'll ask (my sample):

How many people:

βœ… Check your question: Is it fair?  β˜ Yes  β˜ Not yet    Is it specific?  β˜ Yes  β˜ Not yet

✍️ Part 5 β€” Think About It

Why does it matter WHO you ask when collecting data?

If you asked only your best friends about their favorite subject, would your results represent the whole class? Why or why not?

🏠 Take-Home Challenge β€” Be a Question Detective!

Find 2 questions in the real world this week (on a sign, in a survey, a teacher asks you something, a commercial…).

Question #1:

Data can answer? ☐ Yes  β˜ No

Fair (not biased)? ☐ Yes  β˜ No

Question #2:

Data can answer? ☐ Yes  β˜ No

Fair (not biased)? ☐ Yes  β˜ No