Ch. 7 Statistical Intervals Based on a Single Sample

Sections covered: 7.1, 7.2, 7.3

7.1 Basic Properties of Confidence Intervals

Skip: “Deriving a Confidence Interval”, pp. 282-284; “Bootstrap Confidence Intervals”, p. 284

7.2 Large-Sample Confidence Intervals for a Population Mean and Proportion

You may use: \(\hat{p} \pm z_{\alpha/2} \sqrt{\frac{\hat{p}\hat{q}}{n}}\), rather than the formula (7.10) in the blue box on p. 289 for large sample confidence intervals for proportions, skip p. 290

You may use the method from class \(n = \frac{4z^2\hat{p}\hat{q}}{w^2}\) for the minimum \(n\) needed to ensure a particular confidence interval width for proportions, rather than formula (7.12) – both appear on p. 291. As noted in Example 7.9 on p. 291, the easier formula gives a slightly different answer (385 instead of 381).

Additional textbook material on CI for proportions

“When You Hear the Margin of Error Is Plus or Minus 3 Percent, Think 7 Instead”, New York Times, Oct 5, 2016.

7.3 Intervals Based on a Normal Population Distribution

Use the \(t\) distributions.

Skip “A Prediction Interval for a Single Future Value” p. 299 to the end of the section

This is a test.