Page 275 - DMGT404 RESEARCH_METHODOLOGY
P. 275

Unit 12: Hypothesis Testing




          The firm is interested in knowing:                                                    Notes
          1.   Whether the mean productivity of workers is significantly different.
          2.   Whether there is a significant difference in the mean productivity of different types of
               machines.


               Example: Company ‘X’ wants its employees to undergo three different types of training
          programme with a view to obtain improved productivity from them. After the completion of
          the training programme, 16 new employees are assigned at random to three training methods
          and the production performance were recorded.
          The training managers problem is to find out if there are any differences in the effectiveness of
          the training methods? The data recorded is as under:
                                    Daily Output  of New  Employees
               Method 1        15      18       19       22       11
               Method 2        22      27       18       21       17
               Method 3        18      24       19       16       22       15

          Following steps are followed.

          1.   Calculate Sample mean i.e.  x

          2.   Calculate General mean i.e.  x
                                                                    ( )
                                                                å  n x -  x  2
                                                                      i
                                                                    i
                                                              2
          3.   Calculate variance between columns using the formula  s =
                                                                    k - 1
               where K = (n  + n  + n  – 3).
                         1   2   3
          4.   Calculate sample variance. It is calculated using formula:
                              2 å   x -  ) x  2
               Sample variance  s =  ( i   where n is No. of observation under each method.
                              i    n -  1
                                                            2 å  n -  1
          5.   Calculate variance within columns using the formula  s =  i
                                                                n -  k
                                                                 r
                                        æ  between column varianceö
          6.   Calculate F using the ratio F =  ç             ÷
                                        è  within column variance ø

          7.   Calculate the number of degree of freedom in the numerator F ratio using equation, d.f =
               (No. of samples –1).
          8.   Calculate the number of degree of freedom in the denominator of F ratio using the equation
               d.f = S(n  – k)
                      i
          9.   Refer to F table f8 find value.
          10.  Draw conclusions.








                                           LOVELY PROFESSIONAL UNIVERSITY                                   269
   270   271   272   273   274   275   276   277   278   279   280