A few things:
1. You will be examined on the CI for mu or p using PROPORTIONALLY
STRATIFIED SAMPLING. The weights W(i) represent N(i)/N, the relative
fraction of the population in stratum i. Since we sample in proportion to these
weights W(i) is also equal to n(i)/n, the relative fraction of the sample in stratum i.
Thus, referring to proportionally stratified sampling, if you are (only) given
n(i) for all strata i you know n (add the n(i)) and therefore you know W(i) =
n(i)/n.
2. The z and t tables from the front of your book will appear on exam 2.
3. Formulas for proportionally stratified CI for mu or p will be printed on
the exam.
4. Formulas for required sample size for a given precision B (see (6-10)
(6-11) pg. 267, except we replace sigma by s and p by pHAT) will be printed on
the exam. Be sure to understand that the z or t scores used in these formulas
are those from a preliminary sample.
5. Binomial formula (pg. 141) and Poisson formula (pg. 151) will be printed on
the exam. Understand the mean and sd of these distributions and how they may
be used with the 0.5 continuity correction to approximate binomial or Poisson
probabilities.
6. Understand the Central Limit Theorem (pp. 218-221) well enough to know the
mean and sd of xBAR or pHAT and how to use them together with standard
scores to sketch the z-approximate distribution of xBAR or of pHAT and to use
them together with standard scores to evaluate probabilities such as P(xBAR < 41)
or P(pHAT > 0.3) (for example).
7. DO NOT TAKE APART YOUR EXAM PAPER.