References
- Agresti, A., and Coull, B. (1998), “Approximate is Better Than ‘Exact’ for Interval Estimation of Binomial Proportions,” The American Statistician, 52, 119–126. Available at: www.stat.ufl.edu/∼aa/articles/agresti_coull_1998.pdf
- Cobb, G. (1987), “Introductory Textbooks: A Framework for Evaluation,” Journal of the American Statistical Association, 82, 321–339.
- De Veaux, R., Velleman, P., and Bock, D. (2016), Stats: Data and Models (4th ed.), New York: Pearson.
- Hayden, R. (1981), “A History of the ‘New Math’ Movement in the United States,” unpublished dissertation available at: http://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=8426&context=rtd
- Hayden, R. (2000), “Advice to Teachers on Evaluating Introductory Statistics Textbooks,” in Teaching Statistics “Resources for Undergraduate Instructors,” ed. T. Moore, Washington, D.C.: Mathematical Association of America, 93–104.
- Hayden, R. (2015), “Statistics: From College to Pre-College,” Chance, available at: http://chance.amstat.org/2015/11/college-to-pre-college/
- Hayden, R., and Kianifard, F. (1992), “Preparing High School Teachers to Teach Statistics,” The American Statistician, 46, 290–295.
- Hesterberg, T. (2015), “What Teachers Should Know About the Bootstrap: Resampling in the Undergraduate Statistics Curriculum,” The American Statistician, 69, 371–386. A longer version is available at: http://arxiv.org/pdf/1411.5279v1.pdf
- Ralston, A. (1981), “Computer Science, Mathematics, and the Undergraduate Curricula in Both,” American Mathematical Monthly, 88, 472–485.
- Siegel, A., and Morgan, C. (1996), Statistics and Data Analysis: An Introduction (2nd ed.), New York: Wiley.