Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers). Calculate the weighted average of a distribution and interpret it as a measure of center.
Statistics and Probability
Interpreting Categorical and Quantitative Data
- Summarize, represent, and interpret data on a single count or measurement variable.