Quantitative Data
Quantitative data takes numerical values for which it makes sense to find an average (age, height, weight)
Stem Plots
Must have:
title
key (units)
minimum of 5 stems (2√n optimal number of stems)
split stems by either 1, 2, or 5 (no skipping stems)
order leaves from smallest to largest
Histograms
Must have:
title
label both axes (units when necessary)
use break in scale for horizontal axis when necessary
minimum of 2ᵏ ≥ n classes
frequency table
classes must be uniform width
do not use decimals on x-axis
Ogives
Must have:
title
label both axes (units when necessary)
use break in scale for horizontal axis when necessary
minimum of 2ᵏ ≥ n classes
cumulative relative frequency table
classes must be uniform width
do not use decimals on x-axis
Box Plots
Must have:
title
label x-axis (units)
scale similar to dot plot (does not have to start at 0)
identify outliers with a symbol of your choice
"box" is created by Q1, the median, and Q3
whiskers extend to the largest and smallest data points that are NOT outliers
include outlier calculations somewhere
