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Quantitative Techniques – I




                    Notes
                                     Did u know?
                                                              3median = mode + 2 mean
                                                              mode = 3median – 2 mean
                                                              2mean = 3median – mode.

                                   Self Assessment

                                   Fill in the blanks:
                                   22.  .......................is that value of the  variate which occurs maximum number of times in a
                                       distribution and around which other items are densely distributed.
                                   23.  The concept of mode, as a measure of central tendency, is preferable to mean and median
                                       when it is desired to know the .............................
                                   24.  For  a moderately  skewed  distribution,  the  difference  between  mean  and  mode  is
                                       approximately ......................... the difference between mean and median

                                   6.6 Geometric Mean


                                   The geometric mean of a series of  n positive observations is defined as the  nth root of their
                                   product.

                                   6.6.1 Calculation of Geometric Mean


                                   Individual Series

                                   If there are n observations, X , X , ...... X , such that X  > 0 for each i, their geometric mean (GM)
                                                          1  2    n          i
                                                                         1
                                                                 1    n  n
                                                 ,
                                   is defined  as  X X 2 .....................X n  X i  , where the  symbol  P is used to  denote the
                                                1
                                                                 n   i  1
                                   product of observations.
                                   To evaluate GM, we have to use logarithms. Taking log of both sides we have

                                                                         1
                                                                                .
                                                               log (GM) =   log( X X ....... X )
                                                                               1
                                                                                  2
                                                                                        n
                                                                         n
                                                             1                                  log X i
                                                                log  1  log  2    log
                                                                                                 n
                                   Taking antilog of both sides, we have
                                                                                 log X
                                                                                     i
                                                                 GM = antilog    n     .


                                   This result shows that the GM of a set of observations is the antilog of the arithmetic mean of
                                   their logarithms.







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