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During the course of the rhetoric surrounding the 1984 Presidential election campaign in the United States there were a variety of statements made that gave me pause. For example, I heard candidate Ferraro explain her poor showing in pre·election polls by saying. " I don't believe those polls. If you could see the enthusiasm for our candidacy 'out there' you wouldn't believe them either. " Obviously, trying to estimate one's popularity in the entire voting population from the enthusiasm of your supporters at political rallies is not likely to yield accurate results. I suspect that trying to statistically adjust the " rally estimate" through the use of the demographic characteris· tics of those who attend would not have belped enough to be usefuL A modest survey on a more randomly chosen sample would surely have been better. At about the same time, Secretary of Education Terrell Bell released a table entitled State Education Statistics. Among other bits of information, it contained the mean scores on the Scholastic Aptitude Test (the SAT) for 22 of the states. The College Board had previously released these mean scores for all states. At this point the mass media began carrying reports inter preting the differences. The Reagan White House pointed out that spending more money on education was not the way to improve educational outcomes. To support this they pointed to the mean SAT scores of Connecticut and New Hampshire. New Hampshire had modestly higher SAT scores but lower . . per pupil expenditure.
- Sales Rank: #4997854 in Books
- Brand: Brand: Springer
- Published on: 1986-11-18
- Original language: English
- Number of items: 1
- Dimensions: 9.75" h x 6.50" w x .75" l, .0 pounds
- Binding: Hardcover
- 163 pages
- Used Book in Good Condition
About the Author
Dr Howard Wainer is a Distinguished Research Scientist for the National Board of Medical Examiners and Adjunct Professor of Statistics at the Wharton School of the University of Pennsylvania.
Most helpful customer reviews
2 of 2 people found the following review helpful.
Good, but needs more structure
By Peter Flom
Mathematical level: Varies.
This book consists of several discussions, which will interest different audiences. e.g. Burton Singer's chapter on evaluating treatment programs for heroin addiction, s a chapter on selection modeling vs. mixture modeling with nonignorable nonresponse by Glynn, Laird and Rubin. All the authors and discussants are renowned statisticians, and the discussions are interesting and thought provoking. The book is somewhat marred by its format, which is somewhat unclear (i.e. there are sections labeled discussion, and comment, and it isn't always clear who is saying what about what), but, overall, I recommend the book.
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