Create a statistic for a sum that has been normalized with two other values Announcing the...
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Create a statistic for a sum that has been normalized with two other values
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I'm trying to create a statistic about certain measurements normalized with other set of measurements. In the end I have to create a value that will represent the normalized measurements altogether.
As shown below in the table I have a variable called Entity
for which a set of measurements is shown in the Value
column. For the Entity
variable I have other two measurement called n1
and n2
which I need to use to normalize the values in the Value
column.
If I try to normalize Value
per n1
the result shown in Value/n1
makes sense. By this I mean that the "ALL" value for the Entity
variable can be compared with every other individual value, meaning that it is similar to all other individual values and can be used to show whether the other values are above or below a certain average (not certain if it can be called average).
The same case is when I normalize Value
with n2
.
The problem arises when I normalize Value
per n1
and n2
. In this case the "ALL" case has significantly lower value than all other individual cases in the Value/(n1*n2)
column.
Forgive my poor terminology and lack of knowledge for type of statistic calculation. My background is not in mathematics.
Finaly my question is: is there a way to normalize Value
with both n1
and n2
and then create an "ALL" row in which there is a value that can be used as a reference/average to compare to all other cases. I would not like to use average or median of all normalized cases.
statistics
$endgroup$
add a comment |
$begingroup$
I'm trying to create a statistic about certain measurements normalized with other set of measurements. In the end I have to create a value that will represent the normalized measurements altogether.
As shown below in the table I have a variable called Entity
for which a set of measurements is shown in the Value
column. For the Entity
variable I have other two measurement called n1
and n2
which I need to use to normalize the values in the Value
column.
If I try to normalize Value
per n1
the result shown in Value/n1
makes sense. By this I mean that the "ALL" value for the Entity
variable can be compared with every other individual value, meaning that it is similar to all other individual values and can be used to show whether the other values are above or below a certain average (not certain if it can be called average).
The same case is when I normalize Value
with n2
.
The problem arises when I normalize Value
per n1
and n2
. In this case the "ALL" case has significantly lower value than all other individual cases in the Value/(n1*n2)
column.
Forgive my poor terminology and lack of knowledge for type of statistic calculation. My background is not in mathematics.
Finaly my question is: is there a way to normalize Value
with both n1
and n2
and then create an "ALL" row in which there is a value that can be used as a reference/average to compare to all other cases. I would not like to use average or median of all normalized cases.
statistics
$endgroup$
add a comment |
$begingroup$
I'm trying to create a statistic about certain measurements normalized with other set of measurements. In the end I have to create a value that will represent the normalized measurements altogether.
As shown below in the table I have a variable called Entity
for which a set of measurements is shown in the Value
column. For the Entity
variable I have other two measurement called n1
and n2
which I need to use to normalize the values in the Value
column.
If I try to normalize Value
per n1
the result shown in Value/n1
makes sense. By this I mean that the "ALL" value for the Entity
variable can be compared with every other individual value, meaning that it is similar to all other individual values and can be used to show whether the other values are above or below a certain average (not certain if it can be called average).
The same case is when I normalize Value
with n2
.
The problem arises when I normalize Value
per n1
and n2
. In this case the "ALL" case has significantly lower value than all other individual cases in the Value/(n1*n2)
column.
Forgive my poor terminology and lack of knowledge for type of statistic calculation. My background is not in mathematics.
Finaly my question is: is there a way to normalize Value
with both n1
and n2
and then create an "ALL" row in which there is a value that can be used as a reference/average to compare to all other cases. I would not like to use average or median of all normalized cases.
statistics
$endgroup$
I'm trying to create a statistic about certain measurements normalized with other set of measurements. In the end I have to create a value that will represent the normalized measurements altogether.
As shown below in the table I have a variable called Entity
for which a set of measurements is shown in the Value
column. For the Entity
variable I have other two measurement called n1
and n2
which I need to use to normalize the values in the Value
column.
If I try to normalize Value
per n1
the result shown in Value/n1
makes sense. By this I mean that the "ALL" value for the Entity
variable can be compared with every other individual value, meaning that it is similar to all other individual values and can be used to show whether the other values are above or below a certain average (not certain if it can be called average).
The same case is when I normalize Value
with n2
.
The problem arises when I normalize Value
per n1
and n2
. In this case the "ALL" case has significantly lower value than all other individual cases in the Value/(n1*n2)
column.
Forgive my poor terminology and lack of knowledge for type of statistic calculation. My background is not in mathematics.
Finaly my question is: is there a way to normalize Value
with both n1
and n2
and then create an "ALL" row in which there is a value that can be used as a reference/average to compare to all other cases. I would not like to use average or median of all normalized cases.
statistics
statistics
asked Mar 23 at 22:27
adladl
1084
1084
add a comment |
add a comment |
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