Use variability and measures of center to persuade
In this lesson you will learn to use graphs for persuasion by looking at their measures of center and variability.
ADDITIONAL MATERIALS
Lesson slides https://docs.google.com/presentation/d/1l9R6-Ye07RZOVlZmCcBuXibvgalmCPzS/edit?usp=drivesdk&ouid=103344685123288532282&rtpof=true&sd=true
STANDARDS
CCSS.7.SP.B.3 Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the centers by expressing it as a multiple of a measure of variability. For example, the mean height of players on the basketball team is 10 cm greater than the mean height of players on the soccer team, about twice the variability (mean absolute deviation) on either team; on a dot plot, the separation between the two distributions of heights is noticeable.
TEKS.7.12.A compare two groups of numeric data using comparative dot plots or box plots by comparing their shapes, centers, and spreads;
IN.7.DSP.4 Make observations about the degree of visual overlap of two numerical data distributions represented in line plots or box plots. Describe how data, particularly outliers, added to a data set may affect the mean and/or median.
FL.MAFS.7.SP.2.3 Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the centers by expressing it as a multiple of a measure of variability. For example, the mean height of players on the basketball team is 10 cm greater than the mean height of players on the soccer team, about twice the variability (mean absolute deviation) on either team; on a dot plot, the separation between the two distributions of heights is noticeable.
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