Resources

Sometimes a quick review of a topic or procedure is all you need to progress comfortably in a quantitative class. Listed below are some internet resources (with links) and also some supplemental book titles. You may use these resources on your own or request a QR tutor to assist you with your review. Please note that access to a tutor is not guaranteed; tutors will be assigned first to students in MCSR courses without study groups and to students in courses with groups who need additional assistance. Students requesting tutors for general review are most likely to be matched with a tutor if the request is received early in a semester.

1) Resources on the Internet

Note: The internet sites that appear on this page are not produced by Bowdoin College. This site lists them to save you search time. There are not links from these pages back to the Bowdoin Q Reasoning web site.

Algebra Review

Algebra Modules and Lessons from "Purplemath: Your Algebra Resource"

URL: http://www.purplemath.com/modules/modules.htm

Simulations and Demonstrations from the Rice Virtual Lab in Statistics

URL: http://www.ruf.rice.edu/~lane/stat_sim/index.html

Great applets, especially on sampling distributions, the normal approximation to the binomial distribution, confidence intervals, the chi-squared test.

Demonstration of a "Plinko Board" from Rand

URL: http://www.rand.org/methodology/stat/applets/clt.html

A nice visual display of a Plinko Board in action - demonstrating the normal approximation to the binomial distribution and the Central Limit Theorem

Demonstration of how different bin widths change a histogram

URL: http://www.stat.sc.edu/~west/javahtml/Histogram.html

This applet allows the user to change bin widths on the number of minutes Old Faithful Geyser's eruptions last. The differences in the appearances of the resulting histograms are dramatic.

Applets from "Probability by Surprise"

URL: http://www-stat.stanford.edu/~susan/surprise/

These applets include the famous "birthday problem" among many others.

2) Recommended Readings

On the importance of good quantitative skills:

Innumeracy: Mathematical Illiteracy and Its Consequences, by John Allen Paulos. Hill and Wang, 1988.

Mathematics and Democracy: The Case for Quantitative Literacy, by the National Council on Education and the Disciplines, Lynn Arthur Steen, Executive Director. The Woodrow Wilson National Fellowship Foundation, 2001.

For those wanting some review of basic skills, a text to review before taking the Q-Skills Assessment:

The Math Workshop: Algebra, by Deborah Hughes-Hallet. W.W. Norton, 1980.

A good text to accompany an introductory MCSR course:

Using and Understanding Mathematics: A Quantitative Reasoning Approach (2nd edition), by Jeffrey O. Bennett and William L. Briggs. Addison-Wesley, 2002.

Some basic statistics texts that might be useful in courses utilizing statistical concepts:

Statistics: A First Course (7th edition), by John E. Freund and Benjamin M. Perles. Prentice Hall, 1999.

Statistical Methods for the Social Sciences (3rd edition), by Alan Agresti and Barbara Finlay. Prentice Hall, 1997.

Probability and Statistical Inference (6th edition), by Robert V. Hogg and Elliot A. Tanis. Prentice Hall, 2000.

Seeing Through Statistics (2nd edition), by Jessica M. Utts. Duxbury Press, 1999.

Regarding visualization and graphics:

Three books by Edward R. Tufte, all published by Cheshire, CT: Graphics Press.

  • The Visual Display of Quantitative Information, 1983.
  • Envisioning Information, 1990.
  • Visual Explanations: Images and Quantities, Evidence and Narrative, 1997.

On the use and abuse of statistics:

How to Lie with Statistics, by Darrell Huff. W.W. Norton, 1954.

Damned Lies and Statistics: Untangling Numbers From the Media, Politicians, and Activists, by Joel Best. University of California Press, 2001.

A Mathematician Reads the Newspaper, by John Allen Paulos. Doubleday, 1995.


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