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Vocabulary
quantitative dataqualitative datascatter plotsline graphsbar graphschartsdata tablesdigital toolsdiagramsscientific drawingsstudent-prepared models
Skills
  • organize (quantitative and qualitative data using visual and digital representations) #dok2
  • differentiate (between types of data representations such as graphs, charts, and models) #dok2
  • select (appropriate formats for displaying specific data types) #dok2
  • construct (scatter plots, line graphs, bar graphs, charts, and data tables from gathered data) #dok2
  • interpret (organized data in various formats) #dok3
Learning Targets
  • I can organize quantitative and qualitative data using scatter plots, line graphs, bar graphs, charts, data tables, digital tools, diagrams, scientific drawings, and student-prepared models. #dok2
  • I can differentiate between various data representations and choose the appropriate method to display data. #dok2
  • I can construct visual and digital representations (e.g., tables, diagrams, models) from data I have collected. #dok2
  • I can interpret the meaning of data presented in different formats in order to explain scientific findings. #dok3
Big Ideas
  • Organizing scientific data visually and digitally helps reveal patterns and relationships that support scientific conclusions.
  • Choosing the appropriate format to represent data is crucial for accurately communicating scientific investigations.
Essential Questions
  • Why is it important to organize scientific data in different formats?
  • How do different types of data representations, such as charts or models, help us analyze and interpret information?
  • What factors influence the decision to use a specific method for displaying data?
  • In what ways can organizing data enhance communication and understanding of scientific investigations?
  • How does the choice of data representation impact the conclusions we draw from an investigation?