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.

#### The apps, sample questions, videos and worksheets listed below will help you learn Mean, Median, and Mean Absolute Deviation.

## Coherence Map of 7.SP.B.3

The Coherence Map shows the relationships among the Common Core Standards. The Lumos coherence map not only provides graphical representation and convenient navigation within the standards map but also access to thousands of engaging learning & lesson plan resources such as Practice questions, Videos, Books and Infographics related to every standard. It helps educators and students visually explore the learning standards. It's an effective tool to helps students progress through the learning standards. Teachers can use this tool to develop their own pacing charts and lesson plans.

#### Standard Description of 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.