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Unit 7: Mean Deviation and Standard Deviation


                                                                                                     Notes
                       (iii) Multiply the frequency of each class with these deviations and obtain  ∑ fd .
                       (iv) Square the deviations and multiply them with the respective frequencies of each
                                            2
                           class and obtain  ∑ fd .
                           Thus, the only difference in procedure in case of continuous series is to find mid-
                           points of the various classes.
            Example 10:  The following table gives the distribution of income of 100 families in a village.
                        Calculate standard deviation:

                            Income (Rs.)                   No. of families
                               0–1000                           18
                             1000–2000                          26
                             2000–3000                          30
                             3000–4000                          12
                             4000–5000                          10
                             5000–6000                           4
                                                                   (B.Com., Kerala Univ., 1996)
            Solution:
                                    Calcultion of Standard of Diviation
                   Income        m.p.        f     (m–2500)/1000     fd          fd 2
                    (Rs.)         m                     d

                   0–1000        500         18        – 2          – 36         72
                  1000–2000     1500         26        – 1          – 26         26
                  2000–3000     2500         30          0            0           0
                  3000–4000     3500         12        + 1          + 12         12
                  4000–5000     4500         10        + 2          + 20         40
                  5000–6000     5500          4        + 3          + 12         36

                                                                                 2
                                           N = 100                ∑ fd  = – 18  ∑ fd  = 186

                                                   ∑  2  ⎛  ∑ fd  fd ⎞  2
                                             σ =        −  ⎜  ⎟  ×  i
                                                         ⎝ N  ⎠ N

                                                   186  ⎛  − 18 ⎞  2
                                                                          −
                                                                                ×
                                                =     −  ⎜  ⎟  ×  1000  =  1.86 .0324 1000
                                                   100 ⎝  100 ⎠
                                                = 1.3519 × 1000 = 1351.9.
            Mathematical Properties of Standard Deviation
            Standard deviation has some very important mathematical  properties which considerably enhance
            its utility in statistical work.
            1.  Combined standard deviation: Just as it is possible to compute combined mean of two or more
                than two groups, similarly we can also compute combined standard deviation of two or more
                groups. Combined standard deviation is denoted by σ 12   and is computed as follows:




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