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In this lesson, students use dot plots (similar to line plots in earlier grades) as a way to represent data and make sense of what data points mean in context (MP2). Students analyze questions and the kinds of responses they can expect from those questions.
They learn about categorical and numerical data then determine whether a particular survey question will produce one type of data or the other. They begin to recognize variability in data and learn about statistical questions and how they differ from non-statistical questions.
Then students represent distributions of numerical data with dot plots after organizing them into frequency tables. Using graphical representations of distributions, they continue to develop a spatial understanding of distributions in preparation for understanding the concepts of center and spread in future lessons. Students make use of the structure of dot plots to describe distributions and to draw conclusions about the data (MP7).
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A set of numerical data has values that are numbers.
For example, Han lists the ages of people in his family: 7, 10, 12, 36, 40, 67.
A statistical question can be answered by collecting data that has different values. Here are some examples of statistical questions:
The variability of a data set describes how different the values are.
Data set B has many different values, while data set A has more of the same values. So, data set B has more variability.