Data Science for Young Minds — Grade 3
| Topic | Details |
|---|---|
| Questions data CAN answer | Questions data CAN answer: How many? How often? Which is most common? |
| Questions data CANNOT answer | Questions data CANNOT answer: What is the best? Is this fair? What should I do? |
| Turning opinion questions into data ques | Turning opinion questions into data questions |
| Practice | Practice: sort 20 questions into 'data can answer' and 'data cannot answer' |
| What makes a good survey question | What makes a good survey question: clear, specific, unbiased |
| Leading questions and why they are unfai | Leading questions and why they are unfair |
| Open vs. closed questions | Open vs. closed questions |
| Practice | Practice: fix 5 bad survey questions |
| What a sample is | What a sample is: the group of people you ask |
| Why asking only your friends gives diffe | Why asking only your friends gives different results than asking everyone |
| The idea of a representative sample | The idea of a representative sample |
| Why sample size matters | Why sample size matters: asking 3 people vs. asking 30 |
| Choosing a topic you are genuinely curio | Choosing a topic you are genuinely curious about |
| Writing a clear, specific, unbiased ques | Writing a clear, specific, unbiased question |
| Planning your sample | Planning your sample: who will you ask? |
| Getting ready for data collection next s | Getting ready for data collection next session |
Learn to tell the difference between questions data can answer and questions it cannot.
Learn the rules of writing clear, fair survey questions that get useful answers.
Discover that your results change depending on who you survey. This is called sampling.
Write your own data question, plan who to ask, and get ready to collect data in Session 3.