MA19.GDA.11

Mathematics (2019) Grade(s): 09-12 - Geometry with Data Analysis

MA19.GDA.11
Interpret differences in shape, center, and spread in the context of data sets, accounting for possible effects of extreme data points (outliers) on mean and standard deviation.

Unpacked Content

Knowledge

Students know:

Techniques to calculate the center and spread of data sets.
Methods to compare attributes (e.g. shape, median, mean, interquartile range, and standard deviation) of the data sets.
Methods to identify outliers.

Skills

Students are able to:

Accurately identify differences in shape, center, and spread when comparing two or more data sets.
Accurately identify outliers for the mean and standard deviation.
Explain, with justification, why there are differences in the shape, center, and spread of data sets.

Understanding

Students understand that:

Differences in the shape, center, and spread of data sets can result from various causes, including outliers and clustering.

Vocabulary

Outliers
Center
Shape
Spread
Mean
Standard deviation

Aligned Learning Resources

Central Tendency | Targeted Math Instruction

What Is Statistics? | Against All Odds: Unit 1

Measures of Center | Against All Odds: Unit 4

Statistics: Using Sampling to Count Trees

Understanding a Crowd's Predictive Ability | Prediction by the Numbers

Histograms | Against All Odds: Unit 3

Design by Adaptive Theme