2.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 types of graphs are available for single-variable statistics.

You can also use the procedures under “Changing Graph Parameters” on page 6-1 to make the settings you want before drawing each graph.

INormal Probability Plot

This plot compares the data accumulated ratio with a normal distribution accumulated ratio. XList specifies the list where data is input, and Mark Type is used to select from among the marks {U / σ / • } you want to plot.

Press

, )or

)(QUIT) to return to the statistical data list.

IPie Graph

You can draw a pie graph based on the data in a specific list. The maximum number of graph data items (list lines) is 20. The graph is labeled A, B, C, and so on, corresponding to lines 1, 2, 3, and so on of the list used for the graph data.

When “%” is selected for the “Display” setting on the general graph settings screen (page 6-3), a value showing the percentage is displayed for each of the alphabetic label letters.

IHistogram

XList specifies the list where the data is input, while Freq specifies the list where the data frequency is input. 1 is specified for Freq when frequency is not specified.



U(DRAW)

6-4