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Question
Good Morning,
I have three sets of scores, each with different means and standard deviations. Each set of scores is a measure of the demand for employees within each of 17 industries. I would like to standardize each set so I can add the values from each industry together to develop one scale of demand.

From what I remember, I am thinking I need to compute all to a Z score. Minus each number from the series mean then divide by the series standard deviation. Then I can add the (3) Z scores for each industry to make one scale. Is this correct?

Example: Series 1: .01875, .010388, .030, ... (mean=.045, stdev=.030)
series 2: .295,.453,.57, ... (mean=1.20, stdev=.496)
series 3: .02,.116,.074, ... (mean=.085, stdev=.052)

Z Scores series 1: -.875,-1.15,-.499,...
Z Scores series 2: -1.82,-1.51,-1.26,...
Z Scores series 3: -1.24,.58,-.215,...

If each column is an industry, now I can add the scores (-.875+-1.82+-1.24), (-1.15+-1.51+.58),etc. and I will have one scale?

Answer

Sample for three devia
Is this correct? Yes.
I will have one scale? Yes.

At least that is on the means, anyway.  The variances are added as well, and the variance is the standard deviation squared.

When adding together samples, it is not quite so easy to add together variances or even standard deviation.

The entire variance has to be computed again.  There is also the between sample variance which is found by treating series 1, 2, and 3 as 3 distinct values and computing the variance of these.

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Scott A Wilson

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