Access Point #: MAFS.6.SP.1.AP.1a (Archived Access Point)


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Identify statistical questions and make a plan for data collection.

Clarifications:

Essential Understandings

Concrete:

  • Given a list of questions, determine which questions could have a range of answers (i.e., How old are the students in the class? How many brothers and/or sisters does each student have? etc.).
Representation:
  • Generate statistical questions and decide how data could be collected (i.e., using T-chart, tally marks, survey).

Number: MAFS.6.SP.1.AP.1a Category: Access Points
Date Adopted or Revised: 06/14 Cluster: Develop understanding of statistical variability. (Additional Cluster)

Clusters should not be sorted from Major to Supporting and then taught in that order. To do so would strip the coherence of the mathematical ideas and miss the opportunity to enhance the major work of the grade with the supporting clusters.

Related Standards

Name Description
MAFS.6.SP.1.1: Recognize a statistical question as one that anticipates variability in the data related to the question and accounts for it in the answers. For example, “How old am I?” is not a statistical question, but “How old are the students in my school?” is a statistical question because one anticipates variability in students’ ages.



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Related Resources

Lesson Plans

Name Description
Exotic Tadpole Explosion!:

Inquiry based challenge to develop a plan to investigate a large tadpole population growth in the town of Belle Pole. Students analyze preexisting data and make conclusions about the data. Student groups compare their approaches and conclusions with other student groups. A whole group discussion leads students to conclude that results often varied based on methods used to conduct the same investigation. The lesson ends with students writing a self reflection from their student group and whole group discussions.

Statistical Questions and Variability:

This lesson helps the student identify and write statistical questions and determine the variability based on the collected data.