Obtaining Frequency Distributions - HP 49g+ User Manual

Obtaining frequency distributions

The application
2 . F r e q u e n c i e s . .
frequency distributions for a set of data. The data must be present in the form
of a column vector stored in variable
‚ Ù ˜
. The resulting input form contains the following fields:
@ @ @ O K @ @ @
: the matrix containing the data of interest.
D A T
: the column of DAT that is under scrutiny.
C o l
: the minimum class boundary to be used in the
X - M i n
frequency distribution (default = -6.5).
: the number of classes used in the frequency distribution
B i n C o u n t
(default = 13).
: the uniform width of each class in the frequency
B i n W i d t h
distribution (default = 1).
Given a set of n data values: {x
can group the data into a number of classes, or bins by counting the
frequency or number of values corresponding to each class. The application
in the STAT menu will perform this frequency count, and will
2 . F r e q u e n c i e s . .
keep track of those values that may be below the minimum and above the
maximum class boundaries (i.e., the outliers).
As an example, generate a relatively large data set, say 200 points, by using
the command RANM({200,1}), and storing the result into variable DAT, by
using function STO (see example above). Next, obtain single-variable
‚ Ù
information using:
in the STAT menu can be used to obtain
DAT.
, x , ..., x } listed in no particular order, one
1 2 n
. The results are:
@ @ @ O K @ @ @
To get started, press
Page 16-3