####
MA19.6.23
Calculate, interpret, and compare measures of center (mean, median, mode) and variability (range and interquartile range) in real-world data sets.

Calculate, interpret, and compare measures of center (mean, median, mode) and variability (range and interquartile range) in real-world data sets.

### Unpacked Content

## UP:MA19.6.23

### Vocabulary

- Data distribution
- Measures of center
- Measures of variability
- Mean
- Median
- Mode
- Interquartile range
- Range

### Knowledge

- Measures of center and how they are affected by the data distribution and context.
- Measures of variability and how they are affected by the data distribution and context.
- Methods of determining mean, median, mode, interquartile range, and range.

### Skills

- 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.
- Determine measures of center and variability for a set of numerical data.
- Use characteristics of measures of center and variability to justify choices for summarizing and describing data.

### Understanding

- Measures of center for a set of data summarize the values in the set in a single number and are affected by the distribution of the data.
- Measures of variability for a set of data describe how the values vary in a single number and are affected by the distribution of the data.