8adv.MATH.4.A
Construct a scatterplot and describe the observed data to address questions of association such as linear, non-linear, and no association between bivariate data.
Grade 8 (Advanced) · Texas Essential Knowledge and Skills (TEKS) · TEKS 2012
Standard Unwrapping
AI-generated as a starting point — sign in to edit.Vocabulary
scatterplotobserved dataquestions of associationlinear associationnon-linear associationno associationbivariate data
Skills
- construct (scatterplots from bivariate data) #dok2
- describe (observed data to address questions of association) #dok2
- differentiate (between linear, non-linear, and no association in data sets) #dok2
- analyze (data sets for types of association) #dok3
Learning Targets
- I can construct a scatterplot using bivariate data. #dok2
- I can describe patterns and trends in observed data using a scatterplot. #dok2
- I can identify and differentiate between linear, non-linear, and no association in bivariate data sets. #dok2
- I can analyze a scatterplot to determine the type of association between two variables. #dok3
Big Ideas
- The way data is represented visually, such as with a scatterplot, helps reveal patterns and relationships between two variables.
- Identifying the association between two variables is foundational for making informed conclusions and predictions from real-world data.
Essential Questions
- How does a scatterplot help you understand the relationship between two variables?
- What are the differences among linear, non-linear, and no association in bivariate data?
- How can you use observed data to address questions of association?
- Why is it important to identify the type of association in a real-world data set?
- What steps would you take to construct and interpret a scatterplot for a given set of data?