Titanic Here is a table we first saw in Chapter 2 showing who survived the sinking of the Titanic based on whether they were crew members, or passengers booked in first-, second-, or third-class staterooms: a) If we draw an individual at random, whats the probability that we will draw a member of the crew? b) Whats the probability of randomly selecting a thirdclass passenger who survived? c) Whats the probability of a randomly selected passenger surviving, given that the passenger was a first-class passenger? d) If someones chances of surviving were the same regardless of their status on the ship, how many members of the crew would you expect to have lived? e) State the null and alternative hypotheses. f) Give the degrees of freedom for the test. g) The chi-square value for the table is 187.8, and the corresponding P-value is barely greater than 0. State your conclusions about the hypotheses.

Chapter 9 Proportions: Sampling Distributions & Confidence Intervals Sampling Distribution of a Sample Proportion Understand the difference between a parameter and a statistic (discussed in Chapter 8). In most chapters you will be asked to identify the parameter of interest in a problem. This Chapter also introduces the important concept of sampling distributions. Parameters (some examples) Statistics µ population mean (mu) y sample mean (ybar) σ population standard deviation (sigma) s sample standard deviation p population proportion p sample proportion (phat) ρ population correlation coefficient (rho)