ALG2.MATH.8.A
Analyze data to select the appropriate model from among linear, quadratic, and exponential models; Page 8 October 2015 Update.
Algebra II · Texas Essential Knowledge and Skills (TEKS) · TEKS 2012
Standard Unwrapping
AI-generated as a starting point — sign in to edit.Vocabulary
datamodellinear modelquadratic modelexponential model
Skills
- analyze (data) #dok2
- select (appropriate model from among linear, quadratic, and exponential) #dok2
- compare (characteristics of linear, quadratic, and exponential models) #dok2
- justify (the selection of a model based on data patterns) #dok3
Learning Targets
- I can identify linear, quadratic, and exponential patterns in a data set. #dok1
- I can describe the differences between linear, quadratic, and exponential models. #dok1
- I can analyze a given data set to determine its pattern or trend. #dok2
- I can select the most appropriate mathematical model for a set of data. #dok2
- I can compare and contrast linear, quadratic, and exponential models using data. #dok2
- I can justify my selection of a specific model based on data patterns and reasoning. #dok3
- I can create an argument to defend the best model for a given set of data. #dok3
Big Ideas
- Different types of functions model different types of real-world data and situations.
- Analyzing data helps determine which mathematical model best fits and predicts outcomes.
Essential Questions
- How can you determine whether a data set is best modeled by a linear, quadratic, or exponential function?
- What are the key differences in the patterns shown by linear, quadratic, and exponential models?
- Why is it important to choose the most appropriate model when analyzing data?
- How can you justify your choice of model for a given set of real-world data?
- How do errors in model selection affect predictions and conclusions drawn from data?