This task asks students to glean contextual information about bird eggs from a collection of measurements of said eggs organized in a scatter plot. In particular, students are asked to identify a correlation and use it to make interpolative predictions, and reason about the properties of specific eggs via the graphical presentation of the data.

Collecting and analyzing data to write Present Levels of Performance and IEP goals is a critical component of the special education process. By systematically gathering information on a student's academic, behavioral, social, and functional skills, educators can develop a comprehensive understanding of the student's strengths and areas in need of improvement. This data-driven approach helps to ensure that IEP goals are specific, measurable, attainable, relevant, and time-bound (SMART), promoting student success and progress. Additionally, collecting ongoing data allows educators to monitor the effectiveness of interventions and make informed decisions about modifying instructional strategies or accommodations. Ultimately, meticulously documenting present levels of performance and setting appropriate IEP goals based on objective data not only complies with legal requirements but also empowers educators to provide targeted support tailored to each individual student's unique needs.

Students have the opportunity to create and interpret data from simple daily questions.

In this group task students collect data and investigate whether there is a relationship between height and hand size among the students in the class.

In this group task students collect data and analyze from the class to answer the question "is there an association between whether a student plays a sport and whether he or she plays a musical instrument? "

In this task students are asked to describe the data represented in a scatter plot.

Students are asked to analyze the data in a graph and determine if there is an association between the two variables.