Author: Foundations and Applications of Statistics

# Errata

#### Foundations and Applications of Statistics

#### Second Edition

Page | Location | Issue
--- | --- | ---
25 |  | printed: `tally(death ~ victim, data = DeathPenalty)` correct: `tally(death ~ defendant, data = DeathPenalty)`
| Exercise 1.20 | `geyser` is in the `MASS` package (see page 14). Use `MASS::geyser` to access this data set.
285 | last line | printed: \(-2n\pi\) correct: \(-n\pi\)
286 | lines 9-10 | printed: correct when \(\pi_0 = 0\) but overestimates … when \(\pi_0 > 0\) correct: correct when \(\pi_0 = 1/2\) but overestimates … when \(\pi_0 \neq 1/2\)
331 |  | The problem could be clarified to indicate that the first moment is not useful. The second moment could be used.
373 |  | printed: \(W = -2 \log\left(\frac{L(\theta_0)}{L(\hat\theta)} \right) = 2 \left(\log(\hat \theta) - \log(\theta_0)\right) \approx I(\hat \theta) (\theta_0 - \hat\theta)^2\) correct: \(W = -2 \log\left( \frac{L(\theta_0)}{L(\hat\theta)} \right) = 2 \left(l(\hat \theta) - l(\theta_0)\right) \approx I(\hat \theta) (\theta_0 - \hat\theta)^2\)
380 | lines 6, 11, 13 | printed: `pnorm()`, `pchisq()`, `pchisq()` correct: `qnorm()`, `qchisq()`, `qchisq()`.
388 |  | printed: The assymptotic distribution of \(\Lambda\) correct: The assymptotic distribution of \(W = -2 \log(\Lambda)\)
389 |  | printed: `makLik` correct: `maxLik`
446 | Exercise 5.18 | printed: log of the odds ratio correct: log of the odds
447 | line 1 | printed: poison correct: Poisson
498 | line 5 | printed: internally studentized residuls correct: internally studentized residuals
747 | Exercise A.11 | Unfortunately, the `weatherData` package has been removed from CRAN. Similar data now live in `mosaicData::Weather`, but the data for several cities are already contained in a single data frame, so there is no need to merge from multiple sources.