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Session 3 Study Guide: Collecting Data

Data Science for Young Minds — Grade 3

Key Topics

TopicDetails
SurveysSurveys: asking people questions
ObservationObservation: watching and recording what you see
MeasurementMeasurement: using tools to get exact numbers
Choosing the right method for your questChoosing the right method for your question
Preparing your survey materialsPreparing your survey materials
Approaching people politely and explainiApproaching people politely and explaining your purpose
Recording answers consistently (same wayRecording answers consistently (same way every time)
ActivityActivity: run your planned survey with at least 10 people
Counting accuratelyCounting accurately: strategies for not losing track
Measuring with toolsMeasuring with tools: rulers, scales, timers
Why estimation is not the same as measurWhy estimation is not the same as measurement
Recording measurements clearly with unitRecording measurements clearly with units
Common mistakesCommon mistakes: skipping people, recording wrong, changing your question mid-survey
What 'error' means in dataWhat 'error' means in data: small mistakes that add up
How to check your data for mistakesHow to check your data for mistakes
The importance of writing down your methThe importance of writing down your method so others can repeat it

Lesson Summaries

Lesson 1: Ways to Collect Data

Explore three ways to gather data: surveys (asking), observation (watching), and measurement (measuring).

Lesson 2: Running a Survey

Learn the practical steps of conducting a survey: who to ask, how to ask, and how to record answers.

Lesson 3: Counting and Measuring

Practice collecting data through careful counting and precise measurement.

Lesson 4: When Things Go Wrong

Learn about common data collection mistakes and how to avoid them.

Review Questions

  1. What are three ways to collect data?
  2. When would you use a survey instead of observation?
  3. When would you use measurement?
  4. Why does the collection method matter?
  5. What should you say when you approach someone for a survey?
  6. Why is it important to record answers the same way every time?
  7. What is a tally mark and why is it useful?
  8. What should you do if someone does not want to answer your survey?
  9. What is the difference between counting and measuring?
  10. Why should you always include units when recording measurements?
  11. What strategies help you count accurately?
  12. Why is estimation not good enough for data science?
  13. What is a data collection error?
  14. Why should you write down your method?
  15. What happens if you change your question in the middle of a survey?
  16. How can you check your data for mistakes?