Khan Academy Static

Effects_of_linear_transformations

Practice predicting how transforming a dataset will impact measures of center and spread.

Measuring_position

Practice using percentiles and standardized scores (also called z-scores) to measure position in a distribution.

Measuring_spread_in_quantitative_data

Practice calculating interquartile range (also called IQR), variance, and standard deviation.

Box_and_whisker_plots

Practice constructing and interpreting box and whisker plots.

Describing_and_comparing_distributions

Practice using shape, center, and spread to compare distributions.

Measuring_center_in_quantitative_data

Practice calculating mean and median given raw data or a data display.

Displaying_quantitative_data_with_graphs

Practice creating and reading dot plots, histograms, and stem and leaf plots.

More_on_mean_and_median

Practice slightly more advanced problems with mean and median.