6.MATH.12.C
Summarize numeric data with numerical summaries, including the mean and median (measures of center) and the range and interquartile range (IQR) (measures of spread), and use these summaries to describe the center, spread, and shape of the data distribution.
Grade 6 · Texas Essential Knowledge and Skills (TEKS) · TEKS 2012
Standard Unwrapping
AI-generated as a starting point — sign in to edit.Vocabulary
numeric datanumerical summariesmeanmedianmeasures of centerrangeinterquartile rangeIQRmeasures of spreadcenterspreadshapedata distribution
Skills
- summarize (numeric data with numerical summaries including mean, median, range, and IQR) #dok2
- describe (center, spread, and shape of the data distribution using summaries) #dok2
- use (summaries to interpret data distributions) #dok3
Learning Targets
- I can identify and calculate the mean and median as measures of center from a dataset. #dok1
- I can identify and calculate the range and interquartile range (IQR) as measures of spread from a dataset. #dok1
- I can summarize numeric data using mean, median, range, and IQR. #dok2
- I can describe the center, spread, and shape of a data distribution using numerical summaries. #dok2
- I can use measures of center and spread to explain the characteristics of a dataset. #dok3
Big Ideas
- Numerical summaries such as mean, median, range, and interquartile range help us analyze and interpret data distributions.
- Understanding measures of center and spread is essential for describing and comparing sets of numeric data.
Essential Questions
- How do mean and median help us understand the center of a dataset?
- What information do range and interquartile range provide about a data distribution?
- How can we summarize and describe a dataset using different measures?
- In what ways do the measures of center and spread help us compare different sets of numeric data?
- How do the center, spread, and shape of a distribution affect our interpretation of the data?