# Analyzing quantitative data

Contents

This topic covers how to graph distributions of quantitative data in a variety of ways. We'll also explore different methods for measuring center, spread, and position to compare distributions.

18 exercises available

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

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

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

Practice slightly more advanced problems with mean and median.

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

Practice constructing and interpreting box and whisker plots.

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

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