Contents
Which measure of dispersion is best and why?
Standard deviation is the best measures of dispersion, because it posseses most of the characterstics of an ideal measure of dispersion.
What is the most ideal measurement in dispersion?
Standard deviation
Standard deviation (SD) is the most commonly used measure of dispersion. It is a measure of spread of data about the mean.
What is the easiest of the measures of dispersion?
Range. The range is the simplest measure of dispersion. The range can be thought of in two ways. As a quantity: the difference between the highest and lowest scores in a distribution.
What is the disadvantage of the range as a measure of dispersion?
The disadvantage of range is that it is extremely sensitive to outliers. This is because range is determined by subtracting the largest value from the…
Why the range is poor measure of dispersion?
The RANGE is a bad measure of dispersion because it is affected by outliers.It only uses the two extreme values in a dataset. By using the two extreme values in a dataset, it is quite wasteful of resources because all the values in between the maximum and minimu are neglected.
What is a disadvantage of the range?
The disadvantage of using range is that it does not measure the spread of the majority of values in a data set-it only measures the spread between highest and lowest values. As a result, other measures are required in order to give a better picture of the data spread.
Which is an example of an absolute measure of dispersion?
It includes range, standard deviation, quartile deviation, etc. The types of absolute measures of dispersion are: Range: It is simply the difference between the maximum value and the minimum value given in a data set. Example: 1, 3,5, 6, 7 => Range = 7 -1= 6
What is the difference between central tendency and dispersion?
What is the difference between central tendency and dispersion? • Central tendency refers to and locates the center of the distribution of values • Dispersion is the amount of spread of data about the center of a data set.
Why are measures of dispersion important in statistics?
The measures of dispersion are important as it helps in understanding how much a data is spread (i.e. its variation) around a central value. How To Calculate Dispersion? Dispersion can be calculated using various measures like mean, standard deviation, variance, etc.
When to use the co-efficient of dispersion?
Co-efficient of Dispersion The coefficients of dispersion are calculated (along with the measure of dispersion) when two series are compared, that differ widely in their averages. The dispersion coefficient is also used when two series with different measurement units are compared. It is denoted as C.D.