# What is a high RSD?

## What is a high RSD?

The relative standard deviation of a set of data can be depicted as either a percentage or as a number. The higher the relative standard deviation, the more spread out the results are from the mean of the data. On the other hand, a lower relative standard deviation means that the measurement of data is more precise.

## What is difference between standard deviation and relative standard deviation?

The relative standard deviation (RSD) is a special form of the standard deviation (std dev). ... The RSD tells you whether the “regular” std dev is a small or large quantity when compared to the mean for the data set. For example, you might find in an experiment that the std dev is 0.

## How do you express standard deviation as a percentage?

It is expressed in percent and is obtained by multiplying the standard deviation by 100 and dividing this product by the average.

## Should standard deviation be high or low?

A standard deviation (or σ) is a measure of how dispersed the data is in relation to the mean. Low standard deviation means data are clustered around the mean, and high standard deviation indicates data are more spread out.

## What are merits and demerits of median?

1) It is easy to compute and understand. 2) It is well defined an ideal average should be. 3) It can also be computed in case of frequency distribution with open ended classes. 4) It is not affected by extreme values and also interdependent of range or dispersion of the data. 5) It can be determined graphically.

## What are the merits and demerits of central tendency?

• Good to use with ordinal data.
• It is generally unaffected by anomalies and so safer to use with extreme values.

## What is average explain merits and demerits of average?

1) Arithmetic mean rigidly defined by Algebraic Formula. 2) It is easy to calculate and simple to understand. 3) It is based on all observations of the given data. 4) It is capable of being treated mathematically hence it is widely used in statistical analysis. ... 7) For every kind of data mean can be calculated.