Page 28 - FINAL CFA I SLIDES JUNE 2019 DAY 4
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Session Unit 3:


                                                                                                        12. Hypothesis Testing
    LOS 12.h: Identify the appropriate TS and interpret the results for a HT concerning the equality of the population means of 2 at least
    approximately normally distributed populations, based on independent random samples with 1) equal or 2) unequal assumed variances,


      Example: Difference between means – equal variances: Sue Smith is investigating whether the abnormal returns for acquiring firms
      during merger announcement periods differ for horizontal and vertical mergers. She estimates the abnormal returns for a sample of
      acquiring firms associated with horizontal mergers, and those involved in vertical mergers and reported the following:


                                                            Smith assumes that the samples are independent (e.g. 2 different industries), the
                                                            population means are normally distributed, and the population variances are equal.


                                                             Smith must calculate t-statistic. Result is –7.3739! How?




                                                                                          = (64-1)0.0001 + (81-1)0.0004 = 0.0003
                                                                                                    64+81-2


                                                       =           0.01 – 0.025               =       - 7.3739!         And the df =
                                                               0.0003/64 + 0.0003/81                   n1+n2-2 = 64 + 81 – 2 = 143!)

                                                               How should Smith Decide?












                                                                df = n1+n2-2 = 64 + 81 – 2 = 143!, and say 95% confidence (5% SL);
                                                                Lets go to t tables!
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