Relative Standard Deviation
In this blog we are going to discuss about the topic of relative standard deviation. In statistics relative standard deviation is define as the absolute value of coefficient of variation. The basic use of relative standard deviation is on analytical chemistry. We can calculate the relative standard deviation by using the formula that is as follows: (know more about Relative standard deviation , here)
If there is a sample standard deviation s = √ 1 / N -1 ∑ ( xi – x') 2 where i is from 1 to N.
Then relative standard deviation is calculated as RSD = s / x' .
Where s = sample standard deviation and RSD = relative standard deviation.
X define the sample data and x' define the mean value for the sample data set.
N defines the size of the set.
When we used it in the analytical chemistry it defines to express precision. It present in the form of percentage as define by the formula (standard deviation of the data set) / (average of data set) * 100. there is difference between the normal standard deviation and relative standard deviation is that standard deviation is define how much data is spread in terms of mean but relative standard deviation defines as the absolute value of the coefficient of variation.
The RSD allows to make the easy comparison for different types of measurements for standard deviations.
We can take an example for defining it as measuring the concentration of two compounds p and q then the result is 0.5 (+/-) 0.4 ng / mL for compound p and 10 (+/-) 2 ng/mL for compound q. when we calculate the RSD that define their new values for compound p and q are 0.5 (+/-) 80% and 10 (+/-) 20% respectively, so we can see that the measurement for compound q is more precise. During the probability study sometime a question arises that what is an Independent Variable. According to the CBSE pattern, CBSE geography syllabus provides the basic guideline for geography subject for preparation of examination and In the next session we will discuss about Descriptive Statistics.
