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Learning Goal
Part of: Summarize, represent, and interpret data on a single count or measurement variable — 3 of 4 cluster items
Interpret shape, center, and spread in context
Lesson plan for this standard
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Open the lesson plan →HSS.ID.A.3
**HSS.ID.A.3**: Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
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HSS.ID.A.3: Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
What you'll learn
- Describe a distribution's shape, center, and spread as statements about the real-world quantity being measured
- Name the direction of skew correctly (skew points toward the tail)
- Interpret differences in center and spread between two or more data sets in the context of the situation
- Explain how an extreme value (outlier) affects the mean and standard deviation differently from the median and IQR, and how that changes the conclusion
- Decide and justify whether an outlier should be kept or removed, recognizing that outliers may be errors or legitimate rare values
Slides
Interactive presentations perfect for visual learners • 2 slide decks
Slide Video
Watch narrated slides play like a video lesson • Narrated slide playback
Task-sets
Learning resource • 1 task-sets