The mathematical purpose of this lesson is to recognize association among variables by analyzing relative frequency tables. Students learn that association between two variables means that the two variables are statistically related to each other. The work of this lesson connects to previous work because students created and interpreted relative frequency tables. The work of this lesson connects to upcoming work because students will learn about relationships between two numerical variables. When students create and analyze relative frequency tables to make decisions about associations between two variables, they are looking for and making use of structure (MP7).
Technology isn't required for this lesson, but there are opportunities for students to choose to use appropriate technology to solve problems (MP5). We recommend making technology available.
Lesson overview
 3.1 Warmup: Cake or Pie (5 minutes)

3.2 Activity: Associations in Categorical Data (15 minutes)
 Includes "Are you Ready for More?" extension problem
 3.3 Activity: Associating Your Own Variables (15 minutes)
 Lesson Synthesis
 3.4 Cooldown: Graduate Debt (5 minutes)
Learning goals:
 Inspect patterns in relative frequency tables and twoway tables to determine if there is a possible association between two variables of interest.
Learning goals (student facing):
 Let’s look for relationships between categorical variables.
Learning targets (student facing):
 I can look for patterns in twoway tables and relative frequency tables to see if there is a possible association between two variables.
Materials
 Tools for creating a visual display
Glossary:
 association  In statistics we say that there is an association between two variables if the two variables are statistically related to each other; if the value of one of the variables can be used to estimate the value of the other.
 Access the complete Algebra 1 glossary.
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