Disadvantages of median, Applied Statistics


  1. For calculating median it is necessary to arrange the data; other averages do not need any arrangement.
  2. Since it is a positional average, its value is not determined by each and every observation.
  3. It is not capable of algebraic treatment. For example, median cannot be used for determining the combined median of two or more groups as is possible in case of mean. Similarly, the median wage of a skewed distribution times the number of workers and will not give the total payroll. Because of this limitation the median is much less popular as compared to the arithmetic mean.
  4. The value of median is affected more by sampling fluctuations than the value of arithmetic mean.
  5. The median, in some cases, cannot be computed exactly as can the mean. When the number of items included in a series of data is even, the median is determined approximately as the mid-point of the two middle items.
  6. It is erratic, if the number of items is small.
Posted Date: 9/14/2012 2:08:42 AM | Location : United States

Related Discussions:- Disadvantages of median, Assignment Help, Ask Question on Disadvantages of median, Get Answer, Expert's Help, Disadvantages of median Discussions

Write discussion on Disadvantages of median
Your posts are moderated
Related Questions
Cluster Analysis could be also represented more formally as optimization procedure, which tries to minimize the Residual Sum of Squares objective function: where μ(ωk) - is a centr

#questionMaximize Z= 3x1 + 2X2 Subject to the constraints: X1+ X2 = 4 X1 - X2 = 2 X1, X2 = 0..

difference between large sample test and small sample test

What is an example of a real life situation when I would use each of these test

Why are graphs and tables useful when examining data? A researcher is comparing two middle school 7th grade classes. One class at one school has participated in an arts program

A.The coupon rate of Erie-Chicago Rail is 7%. The interest rate of Florida municipal bond with equal risk is 6%.  At what tax rate the two bonds are as good as each other B.Supp

The PCA is amongst the oldest of the multivariate statistical methods of data reduction. It is a technique for simplifying a dataset, by reducing multidimensional datasets to lower

Importance and Application of probability: Importance of probability theory  is in all those areas where event are not  certain to take place as same  as starting with games of

In an agricultural experiment, we wish to compare the yields of three different varieties of wheat. Call these varieties A, B and C. We have a ?eld that has been marked into a 3 *

Construct your initial multivariate model by selecting a dependent variable Y and two independent variables X. Clearly define what each variable represents and how this relates t