 Dataplot Vol 2 Vol 1

# WEIGHTED AVERAGE ABSOLUTE VALUE

Name:
WEIGHTED AVERAGE ABSOLUTE VALUE (LET)
Type:
Let Subcommand
Purpose:
Compute the weighted average absolute value of a variable.
Description:
The weighted average absolute value is defined as where X is the response variable and W is the weights variable. The response variable and weights variable must have the same number of observations.

For this command, the weights are not normalized. However, at least one of the weights must be positive and none of the weights can be negative. Otherwise, an error message is reported.

Syntax:
LET <par> = WEIGHTED AVERAGE ABSOLUTE VALUE <x> <w>
<SUBSET/EXCEPT/FOR qualification>
where <x> is the response variable;
<w> is the weights variable;
<par> is a parameter where the weighted average absolute value is saved;
and where the <SUBSET/EXCEPT/FOR qualification> is optional.
Examples:
LET A = WEIGHTED AVERAGE ABSOLUTE VALUE Y1 WEIGHT
LET A = WEIGHTED AVERAGE ABSOLUTE VALUE Y1 WEIGHT SUBSET Y1 > 0
Note:
Dataplot statistics can be used in a number of commands. For details, enter

Default:
None
Synonyms:
None
Related Commands:
 WEIGHTED SUM = Compute the weighted sum of a variable. WEIGHTED SUM OF SQUARES = Compute the weighted sum of squares of a variable. WEIGHTED SUM OF ABSOLUTE VALUES = Compute the weighted sum of absolute values of a variable. WEIGHTED SUM OF DEVIATIONS FROM THE MEAN = Compute the weighted sum of deviations from the mean of a variable. WEIGHTED SUM OF SQUARED DEVIATIONS FROM MEAN = Compute the weighted sum of squared deviations from the mean of a variable. WEIGHTED MEAN = Compute the weighted mean of a variable. WEIGHTED STANDARD DEVIATION = Compute the weighted standard deviation of a variable. WEIGHTED VARIANCE = Compute the weighted variance of a variable.
Applications:
Data Analysis
Implementation Date:
2012/06
Program:
```
LET Y = DATA 2 3 -5 7 11 13 -17 19 23
LET W = DATA 1 1 0 0 4 1 2 1 0
.
LET A = WEIGHTED AVERAGE ABSOLUTE VALUE Y W
```
The returned value is 11.5

Date created: 06/29/2012
Last updated: 06/29/2012