Page 105 - DCOM203_DMGT204_QUANTITATIVE_TECHNIQUES_I
P. 105

Quantitative Techniques – I




                    Notes          Demerits

                                   Although, arithmetic mean satisfies most of the properties of an ideal average, it has certain
                                   drawbacks and should be used with care. Some demerits of arithmetic mean are:
                                   1.  It can neither be determined by inspection nor by graphical location.

                                   2.  Arithmetic mean cannot be computed for  a qualitative  data; like data on  intelligence,
                                       honesty, smoking habit, etc.
                                   3.  It is too much affected by extreme observations and hence, it does not adequately represent
                                       data consisting of some extreme observations.
                                   4.  The value of mean obtained for a data may not be an observation of the data and as such
                                       it is called a fictitious average.
                                   5.  Arithmetic mean cannot be computed when class intervals have open ends. To compute
                                       mean, some assumption regarding the width of class intervals is to be made.

                                   6.  In the absence of a complete distribution of observations the arithmetic mean may lead to
                                       fallacious conclusions. For example, there may  be two entirely different distributions
                                       with same value of arithmetic mean.
                                   7.  Simple arithmetic mean gives greater importance to larger values and lesser importance
                                       to smaller values.

                                   Self Assessment

                                   State whether the following statements are true or false:

                                   8.  Arithmetic Mean is defined as the sum of squares of observations divided by the number
                                       of observations.
                                   9.  In case of simple arithmetic mean, equal importance is not given to all the observations.

                                   10.  In weighted arithmetic mean, the importance given to various observations is same.
                                   11.  In an individual frequency distribution, we only know the number of observations in a
                                       particular class interval and not their individual magnitudes.

                                   12.  The accuracy of arithmetic mean calculated for a grouped frequency distribution does not
                                       depends upon the validity of the fundamental assumption.

                                   6.3 Median


                                   Median of distribution is that value of the variate which divides it into two equal parts. In terms
                                   of frequency curve, the ordinate drawn at median divides the area under the curve into two
                                   equal parts. Median is a positional average because its value depends upon the position of an
                                   item and not on its magnitude.

                                   6.3.1 Determination of Median


                                   When Individual Observations are given

                                   The following steps are involved in the determination of median:
                                   1.  The given observations are arranged in either ascending or descending order of magnitude.





          100                               LOVELY PROFESSIONAL UNIVERSITY
   100   101   102   103   104   105   106   107   108   109   110