Part A Would you explain what p represents in this hypotheses: H0:p=.02 H1:p>.02 Also state if it is a parameter or a statistic. Part B The director of an advertising agency is concerned with the effectiveness of a television commercial. What null hypothesis is she testing if she commits a type I error when she erroneously says that the commercial is effective. state both the null and alternative hypotheses and describe in words what would be a type II error for this advertising study Solution i think p is a proportion. parameter is a property of population, statistic of a sample. i think p is a parameter. type I error = rejecting true null hypothesis. => null hypothesis is commercial not effective. type II error = failure to reject false null hypothesis. => in this case, declaring commercial to be ineffective even when it is. H0: commercial not effective H1: commercial effective..