Standard Unwrapping

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Vocabulary
datafeaturespatternssources of error
Skills
  • analyze (data for features) #dok2
  • analyze (data for patterns) #dok2
  • identify (sources of error in data) #dok2
  • interpret (data to draw conclusions) #dok3
Learning Targets
  • I can identify significant features in scientific data sets. #dok2
  • I can recognize and describe patterns within data. #dok2
  • I can detect possible sources of error in experimental data. #dok2
  • I can analyze and interpret data to draw evidence-based conclusions. #dok3
Big Ideas
  • Patterns, features, and errors in data help scientists make sense of experiments and observations.
  • Careful analysis of data leads to better scientific arguments and improved experimental design.
Essential Questions
  • How can recognizing patterns in data help us understand scientific phenomena?
  • Why is it important to identify features and potential sources of error when analyzing data?
  • What strategies can we use to find patterns and features in scientific data?
  • How do sources of error influence our interpretation of data?
  • In what ways does analyzing data help us make evidence-based scientific arguments?