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How to calculate cv of a valve?

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The standard deviation is x 100

The coefficients are used to compare data sets from different populations, taking into account the value of the arithmetic mean, which allows us to eliminate possible distortions in the means of two or more populations

Let's use an example to better understand the formula.

A population of dogs with a mean weight of 1,000 kilo and a standard deviation of 150 kilo is possible.

We have a population of rats with a mean weight of 25 kilo and a standard deviation of 10 grams. The standard deviation of both populations is needed to compare the dispersion of both populations.

Go for it

Dogs at 150/1,000.

Rats at 10-40 are 0.25.

To get the coefficients of variation, we have to add the data by 100.

Dogs at 0.10 x 100.

Rats at 0.25 x 100.

The coefficients of variation are 15% for the dog population and 25% for the rat population.

The population with the greatest dispersion is that of rats, the one with the lowest standard deviation, and the one with a priori.

There are examples of how not to use the calculus of the COE of VARIATION.

In addition to being applicable in the comparison between two different populations, the coefficients of variation are also applicable to comparing data sets with different dimensions. The coefficients of variation wouldn't apply if the height and weight of the 30 students were compared. It doesn't make sense to apply the coefficients of variation since they are different qualitative variables.

It makes no sense to use this measure to compare data sets that have different means. The weight of ants is measured in grams and the weight of elephants in tons, so it would not be appropriate to apply the coefficient of variation.

What uses is the efficiency of VARIATION?

The correlation of variation is an indicator that can be used to establish comparisons between different cases or populations and to establish a relationship between the size of the mean and the variability of the variable.

The aim of the coefficient of variation is to focus on a single figure the return of an expected investment and the risk of the investment in order to measure the standard deviation of the return. The lower the percentage of variation, the lower the risk of return.

There are remedies and applications of the co-efficient of multiplication.

The coefficients of variation have some properties and applications.

Darko Rüesch
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