This page would contain resource information like a glossary of terms from the section, key equations, and a reminder of concepts that were covered.
Essential Concepts
- When describing and summarizing data, the shape of a distribution will need to be frequently described and compared to the center and spread of the distribution of a quantitative variable. The determination of the presence of outliers will also be helpful in summarizing the data.
Glossary
- observational units
- individuals or items whose characteristics we are interested in.
- variables
- the characteristics we record on the observational units. These may be quantitative or categorical variables.
Put formal DCMP I Can statements to prepare for the self-check.
These I Can Statements are new (the first one is the “you will understand” rephrased as an I Can):
- I can use histograms and dotplots to compare distributions of a quantitative variable across groups.
- I can compare the center, shape, and spread of distributions of a quantitative variable across groups.
