Recall that "very satisfied" customers give the XYZ-Box video game system a rating that is at least 42. Suppose that the manufacturer of the XYZ-Box wishes to use the 65 satisfaction ratings to provide evidence supporting the claim that the mean composite satisfaction rating for the XYZ-Box exceeds 42. Click here for the Excel Data File (a) Letting / represent the mean composite satisfaction rating for the XYZ-Box, set up the null and alternative hypotheses needed if we wish to attempt to provide evidence supporting the claim that / exceeds 42. HO: H 42 versus Ha: 42 (b) In the context of this situation, interpret making a Type I error; interpret making a Type II error. Type I error: decide 142 (customers satisfied) when u is really 42 (customers not satisfied) SType II error: decide u 42 (customers not satisfied) when p is really 42 (customers satisfied)