J
Jay
I have a file which contains four columns:
A) The 'unit' name
B) A forecast value from January 2004
C) The 'actual value from January 2007
D) The % difference between the forecast value and 'actual' value.
I want to find out the average % difference. I tried the following two
methods:
(1) I have summed all values in columns B and C and worked out the %
difference.
(2) I simply averaged the %'s in column D and I got a smaller figure.
This is because there are some extremely high value items (with large %
diffs) which obviously have a greater weighting on the summed totals in
method (1) and therefore have a bigger weighting on the overall % diff in
method (1).
The average % difference I am trying to calculate is simply an indicative
average which best represents a random sample of 'units', so I'm leaning
towards method (2) because it doesn't include the wieghting in method (1).
And besides, it is very unlikely that other collections of units would
include the high value items that are overly weighting the resulting % diff
in method (1).
Is this correct? Any help appreciated.....Rgds, Jason
A) The 'unit' name
B) A forecast value from January 2004
C) The 'actual value from January 2007
D) The % difference between the forecast value and 'actual' value.
I want to find out the average % difference. I tried the following two
methods:
(1) I have summed all values in columns B and C and worked out the %
difference.
(2) I simply averaged the %'s in column D and I got a smaller figure.
This is because there are some extremely high value items (with large %
diffs) which obviously have a greater weighting on the summed totals in
method (1) and therefore have a bigger weighting on the overall % diff in
method (1).
The average % difference I am trying to calculate is simply an indicative
average which best represents a random sample of 'units', so I'm leaning
towards method (2) because it doesn't include the wieghting in method (1).
And besides, it is very unlikely that other collections of units would
include the high value items that are overly weighting the resulting % diff
in method (1).
Is this correct? Any help appreciated.....Rgds, Jason