ESS.SCI.2.B
Analyze data by identifying significant statistical features, patterns, sources of error, and limitations.
Earth Systems Science · Texas Essential Knowledge and Skills (TEKS) · TEKS 2022
Standard Unwrapping
AI-generated as a starting point — sign in to edit.Vocabulary
datastatistical featurespatternssources of errorlimitations
Skills
- analyze (data to identify statistical features) #dok2
- identify (patterns in data) #dok2
- determine (sources of error in data) #dok3
- evaluate (limitations of data and analysis) #dok3
Learning Targets
- I can analyze data to identify significant statistical features. #dok2
- I can identify patterns that emerge from data. #dok2
- I can determine sources of error in collected data. #dok3
- I can evaluate the limitations present in a set of data or analysis. #dok3
Big Ideas
- Data analysis helps scientists recognize patterns and relationships, leading to meaningful scientific conclusions.
- Understanding and addressing sources of error and limitations is essential for reliable and valid scientific investigations.
Essential Questions
- What are significant statistical features, and how can we identify them in a data set?
- How do patterns in data help us interpret scientific phenomena?
- What sources of error might occur during data collection and analysis, and how can we detect them?
- How can the limitations of data affect scientific conclusions and the validity of investigations?
- Why is it important to critically analyze data before drawing conclusions in scientific research?