Math 143 C/E, Spring 2001
IPS Reading Questions
Chapter 8, Section 1, Part 2: pp. 588-595
Remember that the goal of a hypothesis test is different from that of a confidence interval. Specifically, we are testing the compatability of our sample proportion against a proposed value p0 for the population proportion. The only reason we resorted to using the standard error of in the first place was because we didn't know the population proportion (and hence we didn't know s). But in a significance test we deal in hypotheticals; in particular, we propose that the population proportion be p0. If we're going to propose it, then we should go all the way in our assumption, which means that, if it were the correct parameter, then s is what appears in the denominator.
If you have no knowledge of the value of p, the population proportion, then a safe sample size would be
|
|