Appendix 1 Further Reading

This appendix includes a brief list of books that provide more detail about the statistical topics that are discussed in this book. It is not intended to provide a complete bibliography. Instead, it is intended to provide a few reference books to get you started. Many of the books listed contain exhaustive bibliographies of books and articles for the statistical topics that are discussed in this book.

Statistics References

For more information about using graphs and summary statistics to explore data, see the following:

Cleveland, William S. 1994. The Elements of Graphing Data, Rev. ed. AT&T Bell Laboratories.

Hoaglin, David C., Frederick Mosteller, and John W. Tukey. 1985. Exploring Data Tables, Trends, and Shapes. New York: John Wiley & Sons, Inc.

Tufte, Edward R. 1983. The Visual Display of Quantitative Information. Cheshire, CT: Graphics Press.

Tufte, Edward R. 1990. Envisioning Information. Cheshire, CT: Graphics Press.

Tufte, Edward R. 1997. Visual Explanations: Images and Quantities, Evidence and Narrative. Cheshire, CT: Graphics Press.

For a non-technical discussion of how statistics can be used incorrectly, see the following:

Gonick, Larry, and Woollcott Smith. 1993. The Cartoon Guide to Statistics. New York: Harper Perennial.

Hooke, Robert. 1983. How to Tell the Liars from the Statisticians. New York: Marcel Dekker, Inc.

Huff, Darrell. 1954. How to Lie with Statistics. New York: W. W. Norton & Company, Inc.

Spirer, Herbert F., Louise Spirer, and A. J. Jaffe. 1998. Misused Statistics, Second Edition. New York: Marcel Dekker, Inc.

For a general introduction to statistics and statistical thinking, see the following books. Many of these books also discuss testing for normality.

Brook, Richard J., et al. 1986. The Fascination of Statistics. New York: Marcel Dekker, Inc.

Fraenkel, Jack R., Enoch I. Sawin, and Norman E. Wallen. 1999. Visual Statistics: A Conceptual Primer. Boston, MA: Allyn & Bacon.

Freedman, David, Robert Pisani, and Roger Purves. 2007. Statistics, Fourth Edition. New York: W. W. Norton & Company, Inc.

Gonick, Larry, and Woollcott Smith. 1993. The Cartoon Guide to Statistics. New York: Harper Perennial.

Moore, David S., and George P. McCabe. 2006. Introduction to the Practice of Statistics, Fifth Edition. W. H. Freeman & Company.

Utts, Jessica M. 1999. Seeing Through Statistics. Second Edition. Pacific Grove, CA: Duxbury Press.

For more information about the statistical methods that are discussed in Chapters 5 through 12 of this book, see the following:

De Veaux, Richard D., Paul F. Velleman, and David E. Bock. 2006. Intro Stats, Second Edition. Boston, MA: Pearson Addison-Wesley.

D’Agostino, Ralph B., and Michael A. Stephens. 1986. Goodness-of-Fit Techniques. New York: Marcel Dekker, Inc.

For more information about the Kruskal-Wallis test and other nonparametric analyses, see the following:

Conover, W. J. 1999. Practical Nonparametric Statistics, Third Edition. New York: John Wiley & Sons, Inc.

Hollander, Myles, and Douglas A. Wolfe. 1999. Nonparametric Statistical Methods, Second Edition. New York: John Wiley & Sons, Inc.

Siegel, Sidney, and N. John Castellan, Jr. 1988. Nonparametric Statistics for the Behavioral Sciences, Second Edition. New York: McGraw-Hill, Inc.

For more information about ANOVA and multiple comparison procedures, see the following:

Box, George E. P., William G. Hunter, and J. Stuart Hunter. 2005. Statistics for Experimenters: Design, Innovation, and Discovery, Second Edition. Hoboken, NJ: Wiley-Interscience.

Littell, Ramon C., Walter W. Stroup, and Rudolf J. Freund. 2002. SAS for Linear Models, Fourth Edition. Cary, NC: SAS Institute Inc.

Hsu, Jason C. 1996. Multiple Comparisons: Theory and Methods. London: Chapman & Hall.

Milliken, George A., and Dallas E. Johnson. 1997. Analysis of Messy Data Volume I: Designed Experiments. Boca Raton, FL: Chapman & Hall/CRC.

Muller, Keith E., and Bethel A. Fetterman. 2002. Regression and ANOVA: An Integrated Approach Using SAS Software. Cary, NC: SAS Institute Inc.

Westfall, Peter H., et al. 1999. Multiple Comparisons and Multiple Tests: Using the SAS System. Cary, NC: SAS Institute Inc.

For more information about correlation, regression, and regression diagnostics, see the following:

Belsley, David A., Edwin Kuh, and Roy E. Welsch. 2004. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. Hoboken, NJ: Wiley-Interscience.

Draper, Norman R., and Harry Smith. 1998. Applied Regression Analysis, Third Edition. New York: John Wiley & Sons, Inc.

Freund, Rudolf J., and Ramon C. Littell. 2000. SAS System for Regression, Third Edition. Cary, NC: SAS Institute Inc.

Neter, John, et al. 1996. Applied Linear Statistical Models, Fourth Edition. Chicago: Irwin.

For more information about tests and measures of association for contingency tables, see the following:

Agresti, Alan. 2002. Categorical Data Analysis, Second Edition. Hoboken, NJ: Wiley-Interscience.

Agresti, Alan 1996. An Introduction to Categorical Data Analysis. New York: John Wiley & Sons, Inc.

Fleiss, Joseph L., Bruce Levin, and Myunghee Cho Paik. 2003. Statistical Methods for Rates and Proportions, Third Edition. Hoboken, NJ: Wiley-Interscience.

Stokes, Maura E., Charles S. Davis, and Gary G. Koch. 2000. Categorical Data Analysis Using the SAS System, Second Edition. Cary, NC: SAS Institute Inc.

For more information about practical experimental design, see the following:

Box, George E. P., William G. Hunter, and J. Stuart Hunter. 2005. Statistics for Experimenters: Design, Innovation, and Discovery, Second Edition. Hoboken, NJ: Wiley-Interscience.

SAS Press Books and SAS Documentation

The following SAS Press books are especially helpful when learning to use SAS on a PC:

Delwiche, Lora D., and Susan J. Slaughter. 2008. The Little SAS Book: A Primer, Fourth Edition. Cary, NC: SAS Institute Inc.

Gilmore, Jodie. 2004. Painless Windows: A Handbook for SAS Users, Third Edition. Cary, NC: SAS Institute Inc.

The first book in the previous list discusses the WHERE statement and more features of ODS statements. (SAS publishes additional manuals on ODS. These manuals are not automatically provided with the software.) The following paper gives an overview of the WHERE statement:

Ma, J. Meimei, and Sandra D. Schlotzhauer. 2000. “How and When to Use WHERE,” Proceedings of the Twenty-Fourth Annual SAS Users Group International Conference. Cary, NC: SAS Institute Inc.

This paper was available on support.sas.com at the time this book was printed.

SAS provides documentation about using ODS. The following book starts with the basics, much like the very basic discussion of ODS in this book. Then, the book explains how to use the advanced features of ODS. These features include creating RTF, PDF, and HTML output; creating custom reports; modifying fonts and colors; creating and using style templates; working with graphics output; operating system differences; and more.

Haworth, Lauren E., Cynthia L. Zender, and Michele M. Burlew. 2009. Output Delivery System: The Basics and Beyond. Cary, NC: SAS Institute Inc.

In addition, SAS publishes companion guides for most operating systems, including Microsoft Windows. These companion guides are not automatically provided with the software, but you can order them online.

For SAS documentation for your release, the best approach is to access the PDF files that are provided with the software. You can search these files much more quickly than the printed books. And, you can print the pages you need—and only those pages. For example, the documentation for PROC UNIVARIATE alone is over 180 pages for SAS 9.2, and you might need to print only a few pages.

In addition to hard-copy documentation, you can find technical papers, course notes, books that reference SAS software, and a complete bookstore online at support.sas.com.