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This thread is carried over and continued in the Current Elsmar Cove Forums 
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This thread is carried over and continued in the Current Elsmar Cove Forums
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The New Elsmar Cove Forums
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 The New Elsmar Cove Forums
 Statistical Techniques and 6 Sigma
 coeffecient of variation
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| Author | Topic: coeffecient of variation |
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arnima unregistered |
posted 16 February 2001 07:37 AM
 
what is the cut off value of coeffcient of variation ( %) , above which the variation is considred to be significant ???or At what coefficient of variation the data is considered to be homogenous???? IP: Logged |
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Rick Goodson Forum Wizard Posts: 102 |
posted 19 February 2001 10:35 AM
 
The 'correlation coefficient' is designated by 'r' where r is: r = (1/n)(SUM[(x-xbar)x (y-ybar)]) divided by (sigma subx)(sigma suby) where n is the number of pairs and x & y are the values of the two variables. To test for whether the apparent correlation is significant use a 't' test where: t (no. of sigma) = r multiplied by the square root of n If t is greater than 3 consider there is a significant correlation IP: Logged |
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Mark Smith Forum Contributor Posts: 32 |
posted 26 April 2001 03:54 PM
Rick, I was just scanning the forums and noticed your reply to this query. She is asking about the significance level for a coefficient of variation or CV! It is defined as STDEV/MEAN *100. It is hard to quantify exactly where it becomes a significant value since it depends upon how much variation in whatever is being measured your business can tolerate. I would use it as a relative measure when comparing groups of data. Similar to comparing STDEV between populations. Hope this helps. IP: Logged |
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Ken K. unregistered |
posted 27 April 2001 04:03 PM
I've really never seen much use for the coefficient of variation. Does anyone out three use it regularly? Any tips? IP: Logged |
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dWizard Forum Contributor Posts: 20 |
posted 04 May 2001 11:56 AM
Marc is correct. The coefficient of variation is defined as the standard deviation divided by the mean as a percent [(s/Xbar)*100]. It is used primarily when comparing two distributions that are either:
The coefficient of variation has no units. It measures relative variability, that is, variability relative to the magnitude of the data.
Since CV is used based upon the above uses, CV in and of itself is not significant. Significance applies when comparing two or more variances. Typically, when determining significance for two variances of different units, some method would need to be applied to convert both variances to the same unit.
Coefficient of variation does not determine homogeneity. Ken K., Yea, I use it some, but rarely. Regards, ------------------ IP: Logged |
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