Lesson 2

Statistical Questions

Lesson Narrative

In this lesson, students continue to analyze questions and the kinds of responses they can expect from those questions. They begin to recognize variability in data and learn about statistical questions and how they differ from non-statistical questions. In order to define variability, students categorize data sets and name the categories to make use of structure (MP7) because they are seeking mathematically important similarities between the objects.

Learning Goals

Teacher Facing

  • Justify (orally) whether a question is “statistical” based on whether variability is expected in the data that could be collected.
  • Match survey questions to data sets representing possible responses and justify (in writing) why they match.

Student Facing

Let's look more closely at data and the questions they can help to answer.

Required Preparation

Prior to the warm-up, prepare a large class dot plot for the class to use with a horizontal axis labeled "pencil length (inches)" and intervals of \(\frac{1}{4}\) from 0 to 8.

Blank dot plot. Pencil length in inches. 

One dot sticker for each student to include in the class dot plot.

Prior to the What Makes a Statistical Question activity, prepare a two-column table to record students' observations and display for all to see.

Print and cut up cards from the Sifting for Statistical Questions blackline master.  Prepare 1 set of cards for every 2 students.

Learning Targets

Student Facing

  • I can tell when data has variability.

CCSS Standards

Building On


Glossary Entries

  • statistical question

    A statistical question can be answered by collecting data that has variability. Here are some examples of statistical questions:

    • Who is the most popular musical artist at your school?
    • When do students in your class typically eat dinner?
    • Which classroom in your school has the most books?
  • variability

    Variability means having different values.

    For example, data set B has more variability than data set A. Data set B has many different values, while data set A has more of the same values.

    a dot plot


    a dot plot

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