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Unit 5: Application of Mean, Median and Mode



                      0.8               1.9031            0.0002           4.3010                    Notes
                     0.08               2.9031            0.0984           2.9930
                    0.8974              1.9530            0.0854           2.9315
                                                         0.05672           1.7538

                     N = 7          ∑logs  =  5.8314      N = 8        ∑logs  = 10.3508
                        Series A
                                                  ⎛  ∑logs ⎞      ⎛     ⎞ 5.8314
                                      G.M. = Antilog ⎜   ⎟   = A.L. =  ⎜  ⎟
                                                  ⎝  N   ⎠        ⎝  7  ⎠
                                      G.M. = Antilog 0.8331 = 6.810
                        Series B

                                                  ⎛  ∑logs ⎞   ⎛      ⎞ 10.3508
                                      G.M. = Antilog ⎜   ⎟   = AL  ⎜  ⎟
                                                  ⎝  N   ⎠     ⎝   8  ⎠

                                                ⎛  + 6.3508  ⎞ 16
                                      G.M. = A.L. ⎜       ⎟   = AL2.7938  = 0.0622.
                                                ⎝    8    ⎠
            5.2 Application of Median

            The median by definition is the middle value of the distribution. Whenever the median is given as a
            measure, one-half of the items in the distribution have a value the size of the median value or smaller
            and one-half have a value the size of the median value or larger.
            As distinct from the arithmetic mean which is calculated from the value of every item in the series, the
            median is what is called a positional average. The term ‘position’ refers to the place of a value in a
            series. The place of the median in a series is such that an equal number of items lie on either side of it.
            For example, if the income of five persons is 2,700, 2,720, 2,750, 2,760, 2,780, then the median income
            would be Rs. 2,750. Changing any one or both of the first two values with any other numbers with
            value of 2,750 or less, and on changing of the last two values to any other values of 2,760 and more,
            would not affect the values of the median which would remain 2,750. In contrast, in case of arithmetic
            mean the change in the value of a single item would cause the value of the mean the changed. Median
            is thus the central value of the distribution or the value that divides the distribution into two equal
            parts. If there are even number of items in a series there is no actual value exactly in the middle of the
            series and as such the median is indeterminate. In such a case the median is arbitrarily taken to be
            halfway between the two middle items. For example, if there are 10 items in a series, the median
            position is 5.5, that is, the median value is halfway between the value of the items that are 5th and 6th
            in order of magnitude. Thus when N is odd the median is an actual value with the remainder of the
            series in two equal parts on either side of it. If N is even then the median is a derived figure, i.e., half
            the sum of the two middle values.
            Calculation of Median Individual Observation

            Steps:

            (i)  Arrange the data in ascending or descending order of magnitude. (Both arrangements would
                give the same answer.)

                                              N + 1
            (ii)  Apply the formula: Median = Size of   th  item.
                                                2






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