General Instructions: For all confidence intervals (confidence bounds) you compute in these problems, draw a sketch of the confidence interval (confidence bound) on the appropriate scale.
Warning: Make sure you know what population parameter you are finding a confidence interval for. If the question asks about a mean, you are interested in \(\mu\). If the question asks about a count, proportion, or percentage calculated from \(n\) trials, you are interested in \(p\).
Note 1: For confidence intervals (confidence bounds) for a population mean, do not use the 'large sample confidence interval' given by equation 8.8 on page 386. Use the \(t\)-distribution-based confidence interval (confidence bound).
Note 2: For confidence intervals (confidence bound) for a population proportion, compute the confidence interval (confidence bound) using prop.test() as we did in class. You do not have to do this by hand. Use R.