AQR.MATH.3.A
Collect numerical bivariate data to create a scatterplot, select a function to model the data, justify the model selection, and use the model to interpret results and make predictions.
Advanced Quantitative Reasoning · Texas Essential Knowledge and Skills (TEKS) · TEKS 2012
Standard Unwrapping
AI-generated as a starting point — sign in to edit.Vocabulary
numerical bivariate datascatterplotfunctionmodelmodel selectionresultspredictions
Skills
- collect (numerical bivariate data) #dok1
- create (scatterplots from data) #dok2
- select (a function to model the data) #dok2
- justify (model selection based on data) #dok3
- interpret (results and make predictions using the model) #dok3
Learning Targets
- I can collect numerical bivariate data for analysis. #dok1
- I can create a scatterplot from a set of bivariate data. #dok2
- I can select a mathematical function that models bivariate data. #dok2
- I can justify my choice of a function that best fits the data. #dok3
- I can use the function model to interpret results and make predictions about real-world situations. #dok3
Big Ideas
- Mathematical modeling using real-world data enables predictions and informed decision making.
- Choosing and justifying appropriate mathematical models is critical to understanding relationships between variables.
Essential Questions
- How can we use bivariate data to understand the relationship between two variables?
- What steps are involved in choosing a mathematical model for a set of data?
- Why is it important to justify the model you select when analyzing data?
- How can making predictions from a model impact real-world decisions?
- In what ways does the data's context influence the choice of model?