Reading List for Statistics 112
Textbook – M&M
Moore, D. S., McCabe, G. P. & Craig, B. A. (2012). Introduction to the
Practice of Statistics (7th edition). Freeman & Co.: New York.
Recommended
GD
Wainer, H. (2005). Graphic Discovery: A trout in the milk and other
visual adventures. Princeton University Press: Princeton, NJ. ** On
reserve in Library **
PUW
Wainer, H. (2009). Picturing the Uncertain World: How to
Understand, Communicate and Control Uncertainty through Graphical
Display . Princeton, NJ: Princeton University Press. ** On reserve in
Library**
Readings
1. Arbuthnot, J. (1710). An argument for Divine Providence taken from the
Constant Regularity in the Births of Both Sexes. Philosophical Transactions
of the Royal Society, London, 27, 186-190.
2. De Veaux, R. D. & Velleman, P. F. (2008). Math is Music; Statistics is
Literature – or Why are there no six year old Novelists? AMSTAT
News, August, 374.
3. Friendly, M. & Wainer, H. (2004). Nobody’s perfect. Chance,17(2), 48-51.
4. Holland, P. W. (1986a). Statistics and causal inference. Journal of the
American Statistical Association. 81, 945-970.
5. Holland, P. W. (1986b). Which comes first, cause or effect? The New York
Statistician, 38, 1-6.
6. Lee, G., Velleman, P. & Wainer, H. (2008). Giving the finger to dating
services, Chance, 21(3), 59-61.
7. Lord, F. M. (1967). A paradox in the interpretation of group comparisons.
Psychological Bulletin, 68, 304-305.
8. Simpson, E. H. (1951). The interpretation of interaction in contingency
tables. Journal of the Royal Statistical Society, B, 13, 238-241.
9. Tukey, J. W. (1977). Exploratory data analysis. Reading, MA: AddisonWesley. ** On reserve in Library **
10. Vasilescu, D. & Wainer, H. (2005). Old Mother Hubbard and the United
Nations: An adventure in exploratory data analysis.. (with discussion).
Chance,18(3), 38-45.
11. Wainer, H. (1976). Estimating coefficients in linear models: It don’t make no
nevermind. Psychological Bulletin, 83, 213-217.
12. Wainer, H. (1983). Multivariate displays. In M. H. Rizvi, J. Rustagi & D.
Siegmund (Eds.), Recent advances in statistics (pp. 469-508). New York:
Academic Press.
13. Wainer, H. (2000). Testing the disabled: Using statistics to navigate
between the Scylla of standards and the Charybdis of court decisions.
Chance, 13(2), 42-44.
14. Wainer, H. (2000). Visual Revelations: Graphical Tales of Fate and
Deception from Napoleon Bonaparte to Ross Perot. (2nd edition)
Hillsdale, N. J.: Lawrence Erlbaum Associates. . ** On reserve in Library
**
15. Wainer, H. (2003). A graphical legacy of Charles Joseph Minard: Two jewels
from the past. Chance,16(1), 56-60.
16. Wainer, H. and Brown, L. (2004). Two statistical paradoxes in the
interpretation of group differences: Illustrated with medical school
admission and licensing data. The American Statistician, 58, 117-123.
17. Wainer, H. (2007). The most dangerous equation. The American
Scientist,95(3), 249-256.
See also:
Kahneman, D. (2011). Thinking, fast and slow. New York: Farrar, Straus &
Giroux. Chapters 10 and 17. . ** On reserve in Library **
18. Playfair, W. (1781). The Commercial and Political Atlas and The
Statistical Breviary. Republished in 2005 by Cambridge University
Press: New York. Edited and introduced by Howard Wainer and Ian
Spence. . ** On reserve in Library **
19. Savage, S. & Wainer, H. (2008). Until Proven Guilty: False Positives
and the War on Terror, Chance, 21(1), 55-58.
20. Feinberg, R. & Wainer, H. (2011). Extracting Sunbeams from
Cucumbers. Journal of Computational and Graphical Statistics, Vol. 20,
No. 4: 1-18. (need to get a copy for course web-site).
21. Efron, B. and Gong, G. (1983) A leisurely look at the Bootstrap, the
Jackknife and Cross-Validation. American Statistician, 37, 36-48.