![](data:image/png;base64,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)
TI-83 Plus Statistics 373
Defining the Plots
To define a plot, follow these steps.
1. Press
y
,
. The
STAT PLOTS
menu is displayed with the
current plot definitions.
2. Select the plot you want to use. The stat plot editor is displayed for
the plot you selected.