• Review of t-tests, standard error of mean, s.e. of diff.: Littell et al. sections 3.1, 3.2 (focus on 3.2.3), or the t-test material from the Statistical Sleuth (Chapter 2?) or other intro text.
• Sample size and power concepts: Skim (i.e. read for main points but don't worry about all the details):
  
  • General overview of statistics in agronomy:
    Nelson and Rawlings 1983, Ten common misuses of statistics in agronomic research and reporting.
  • General overview in wildlife, use of power analysis:
    Cherry 1998, Statistical tests in publications of The Wildlife Society

• Power calculation for comparison of 2 means Karlsson et al. 2003. J. Arthroscopic and Related Surgery 19(9):997-999. Do not pay for access!
• If you want a another discussion of the concepts, you might also look at: Devane et al. 2004. Journal of Advanced Nursing 47(3):297-302.
• Contrasts (review): textbook (Littell et al.) pp 56 - 58, 60-62. We'll talk about sections 3.4.4 - 3.4.6 later.
  Or, Statistical Sleuth, section 6.2.

Week of Jan 28, subsampling

• Little et al., section 4.1, 4.2 (omit 4.2.3, 4.2.5)

Week of Feb 4, blocking

• Little et al., section 3.5, pp 62-65, section 4.3, pp 106-112.
• Mead, Experimental Design, skim Chapter 2.

Week of Feb 11, issues in blocking

• Karcher et al. 2003, Crop Sci 43:2295-2297

• Factorial treatment structures: pp 175-190 in Kuehl, 2000. Design of Experiments.
• Plots to illustrate main effects and interactions: Factorial Designs, from Research Methods Knowledge Base
• Plots for a 2x3 factorial: Factorial Designs, from Research Methods Knowledge Base

• Introduction to contrasts: Pearce (1992a) Data analysis in agricultural experimentation. I. Contrasts of interest. Experimental Agriculture 28:245-253.
• Factorial studies and contrasts: Read pp 379-383 in Pearce (1992b) Data analysis in agricultural experimentation. II. Some standard contrasts. Experimental Agriculture 28:375-383.
  The first part deals with contrasts for quantitative treatments. It's very good information, but not directly related to the current lectures. We may talk about this at the end of the course.

• Littell et al (text): sections 5.1 and 5.2 (pp 141-147).

• Split plot designs: Larry Douglass's (U MD) notes on split plot design and analysis.

• Littell et al., Chapter 8, especially section 8.4 on use of proc mixed. Skim or omit the mathematical details (e.g. 3rd paragraph on p 282).
• Repeated Measures analysis using summary statistics: Senn, Stevens, and Chaturvedi, 2000, Tutorial in Biostatistics. Repeated measures in clinical trials: simple strategies for analysis using summary measures. Statistics in Medicine 19:861-877. read details on pp 861-863, 866(bottom) - 867(top), skim rest