Calculating And Graphing Single-Variable Statistical Data; Drawing A Histogram (Bar Graph); Med-Box Graph (Med-Box); Mean-Box Graph - Casio FX-9750G Quick Start Manual

18-3 Calculating and Graphing Single-Variable
Statistical Data
Single-variable data is data with only a single variable. If you are calculating the
average height of the members of a class for example, there is only one variable
(height).
Single-variable statistics include distribution and sum. The following five types of
graphs are available for single-variable statistics.
k k k k k Drawing a Histogram (Bar Graph)
From the statistical data list, press 1 (GRPH) to display the graph menu, press 6
(SET), and then change the graph type of the graph you want to use (GPH1, GPH2,
GPH3) to histogram (bar graph).
P.285 Data should already be input in the statistical data list (see "Inputting Data into List").
Draw the graph using the procedure described under "Plotting Data".
P.289
(Graph Type)
(Hist)
The display screen appears as shown above before the graph is drawn. At this
point, you can change the Start and pitch values.
k k k k k Med-box Graph (Med-Box)
P.289
This type of graph lets you see how a large number of data items are grouped within
(Graph Type)
specific ranges. A box encloses all the data in an area from the 25th percentile to the
(Box)
75th percentile, with a line drawn at the 50th percentile. Lines (called whiskers)
extend from either end of the box up to the minimum and maximum of the data.
From the statistical data list, press 1 (GRPH) to display the graph menu, press 6
(SET), and then change the graph type of the graph you want to use (GPH1, GPH2,
GPH3) to med-box graph.
k k k k k Mean-box Graph
P.289 This type of graph shows the distribution around the mean when there is a large
(Graph Type) number of data items. A line is drawn at the point where the mean is located, and
(Box) then a box is drawn so that it extends below the mean up to the standard deviation
and above the mean up to the standard deviation. Lines (called whiskers) extend
from either end of the box up to the minimum and maximum of the data.
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