S-ID Interpreting Categorical and Quantitative Data
A. Summarize, represent, and interpret data on a single count or measurement variable
1. Represent data with plots on the real number line (dot plots, histograms, and box plots).
2. Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.
3. Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
Box-and-Whisker Plots (for one quantitative variable)
Lists and Spreadsheets (includes descriptive statistics)
- Use ctrl-c to copy, and ctrl-v to paste
- Hold down the shift button and use the arrows to select more than one cell from a list