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.
Standard detail
CCSS.Math.Content.7.SP.B.3
Standard
Depth 2Parent ID: 929EBEA1A93948A3B0B8B31E3CA106FCStandard set: Grade 7
Original statement
Quick facts
- Statement code
- CCSS.Math.Content.7.SP.B.3
- List ID
- 3.
- Standard ID
- EC52E8776E5F4A498AE2DEE64FFB60DD
- ASN identifier
- S1143520
- Subject
- Common Core Mathematics
- Grades
- 07
- Ancestor IDs
- 929EBEA1A93948A3B0B8B31E3CA106FCD1A20190DFE401311D0968A86D17958E
- Source document
- Common Core State Standards for Mathematics (2010)
- License
- CC BY 3.0 US
- Dataset notes
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.