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                     b.  If both the population variance is unknown but n1  30 and n2  30, then

                              X     X   −
                            Z =     1  2                                                          ( N4 )
                               σ ˆ
                                 X   1  − X  2


                     Testing criteria:

                            If this test use significance level   , then

                     H0  is accepted if  Z-actual   - Z-table   or   Pr ( Z  z actual )    , otherwise

                     H0  is rejected if Z-actual  < - Z-tabel   or   Pr ( Z  z actual ) <   .



                     Worked Example  4.4:

                            A  golf  ball  factory  introduced  the  latest  production  of  golf  balls  (new
                     type), and declared better than the old golf balls (old type). Distance of the two

                     types of golf balls each having standard deviation : old type 1 = 9.8 meters and

                     a  new  type  2  =  7.1  meters.  A  golfer  wants  to  test  the  above  statement  by

                     selected at random, hits 35 shots using balls of old types and hits 35 shots using

                     balls of new types. Mean of distance in metres for each type respectively 20.1
                     meters and 23.6 meters. By using Significance level   = 0.05, test the hypotheses

                     that:



                     a. Both types of golf balls are not different

                     b. The old type is inferior to the new type.


                     Worked Solution:

                            1     = 9.8   meter           2     = 7.1   meter
                             X     = 20.1 meter          X    = 23.6 meter
                                                           2
                              1
                              n1    = 35                 n2    = 40




                                           ~~* CHAPTER 4   TESTING HYPOTHESIS *~~
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