How to Calculate Relative Dispersion


The relative dispersion of a data set, more commonly referred to as its coefficient of variation, is the ratio of its standard deviation to its arithmetic mean. In effect, it is a measurement of the degree by which an observed variable deviates from its average value. It is a useful measurement in applications such as comparing stocks and other investment vehicles because it is a way to determine the risk involved with the holdings in your portfolio.

  • Determine the arithmetic mean of your data set by adding all of the individual values of the set together and dividing by the total number of values.

  • Square the difference between each individual value in the data set and the arithmetic mean.

  • Add all of the squares calculated in Step 2 together.

  • Divide your result from Step 3 by the total number of values in your data set. You now have the variance of your data set.

  • Calculate the square root of the variance calculated in Step 4. You now have the standard deviation of your data set.

  • Divide the standard deviation calculated in Step 5 by the absolute value of the arithmetic mean calculated in Step 1. Multiply it by 100 to get the relative dispersion of your data set in percentage form.


Promoted By Zergnet


You May Also Like

  • How to Calculate Relative Error

    Relative error is a number that compares how incorrect a quantity is from a number considered to be true. Unlike absolute error,...

  • How to Calculate Relative Frequency Distribution

    Relative frequency distribution is a basic statistical technique. To calculate relative cumulative frequency, you need to create a chart. This chart lists...

  • How to Find Relative Humidity

    Whether completing a school science experiment or other weather related project, it may be useful to know relative humidity and ways in...

Related Searches

Check It Out

Can You Take Advantage Of Student Loan Forgiveness?

Is DIY in your DNA? Become part of our maker community.
Submit Your Work!