Standard Unwrapping

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Vocabulary
datastatistical featurespatternssources of errorlimitations
Skills
  • analyze (data for statistical features) #dok2
  • identify (patterns in data) #dok2
  • determine (sources of error in data) #dok3
  • evaluate (limitations in data analysis) #dok3
Learning Targets
  • I can analyze data by identifying significant statistical features. #dok2
  • I can identify patterns in data sets. #dok2
  • I can determine possible sources of error in data collection and analysis. #dok3
  • I can evaluate the limitations of data in supporting conclusions. #dok3
Big Ideas
  • Analyzing and interpreting data is essential for making evidence-based scientific claims.
  • Recognizing patterns, errors, and limitations in data helps ensure the accuracy and reliability of scientific investigations.
Essential Questions
  • How can we identify statistically significant features within a data set?
  • What patterns can be found in scientific data, and how do these patterns inform our understanding?
  • Why is it important to identify sources of error when analyzing data?
  • How do limitations in data affect the conclusions we draw from scientific investigations?
  • In what ways can the analysis of data support or refute scientific hypotheses?