Unpacked Content
Knowledge
Students know:
- How to use graphical representations of real-world data to describe context, center, spread and shape from which they were collected.
- Techniques for constructing line plots, stem and leaf plots, dot plots, histograms, and box plots.
Skills
Students are able to:
- Organize and display data using dot plots, line plots, stem and leaf plots, histograms, and box plots.
- Describe the nature of the attribute under investigation including how it was measured and its unit of measure using the context in which the data were collected.
- Describe the shape of numerical data distribution including patterns and extreme values.
- Use graphical representations of real-world data to describe and summarize the context from which they were collected.
Understanding
Students understand that:
- Sets of data can be organized and displayed in a variety of ways, each of which provides unique perspectives of the data set.
- Data displays help in conceptualizing ideas and in solving problems.
- The overall shape and other significant features of a set of data, (e.g., gaps, peaks, clusters and extreme values) are important in summarizing numerical data sets.
Vocabulary
- Dot plots
- Histograms
- Box plots
- Stem and leaf plots
- Line plots
- Extreme values
- Outliers
- Gaps
- Clusters
- Symmetric
- Skewed
- Center
- Spread
- peaks
- 5 number summary
- Minimum
- Maximum
- Median
- lower quartile
- Upper quartile
