Putting samples to work
One of the most important roles of statistics is to draw conclusions about a population based on information garnered from a sample of that population. Thus, it is important to contextualize the calculations performed on the samples, and confidence intervals play a key role by quantifying the accuracy of population estimates.
At the risk of sounding like a broken record, you’ll only understand this chapter if you understand the chapters before it, especially Chapter 8. Confidence intervals for the mean are affected by the size of the sample, just as the sample means and sample proportions were in Chapter 8. (Remember, this led to the finite population correction factors for the sampling ...