Page 20 - FINAL CFA SLIDES DECEMBER 2018 DAY 4
P. 20

Session Unit 3:

                                                                                                 12. Hypothesis Testing, p274


    LOS 12.a: Define a hypothesis, describe the steps of hypothesis testing, and describe

    and interpret the choice of the null and alternative hypotheses.


      A hypothesis is a statement about the value of a population parameter developed for the

      purpose of testing a theory or belief e.g. the mean daily returns of shares is positive!



        Key steps, p.273:                                           The Null (Ho) & Alternative Hypothesis (Ha)

                                                                    Ho = the one the researcher wants to reject.

                                                                           Say, μ is the population mean and μ0 is the
                                                                           hypothesized value of the population mean.
                                                                            Ho: μ = μo,
                                                                                                Ho: μ ≤ μo,
                                                                                                                       Ho: μ ≥ μ0,


                                                                      Ha = the conclusion reached if we reject Ho.


                                                                                Ha: μ ≠ μo,
                                                                                                 Ha: μ > μ0,
                                                                                                                        Ha: μ < μo,

                                                                      The logic?



                                                                      Since you can never really prove anything with

                                                                      statistics, when Ho is discredited, the implication is that
                                                                      the Ha is valid/supported (note: not accepted).
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