## STAT 401F/XW: Statistical Methods for Research Workers Ag. and Bio. Sciences (section F) and online/distance (section XW)Fall 2012 SYLLABUS and other useful information

 Lectures: MWF 9-9:50am, Room 2272 Gilman (section F) Available anytime though the class web site or Blackboard (section XW). Also accessible to those in section F, but I recommend coming to class if you're in Ames. Will be posted on the class web site by noon each lecture day Laboratory: W 2:10 - 4 pm, Room 2272 Gilman (Section F) Will be posted by noon Thursday on the class web site and Blackboard (section XW) Instructor: Philip Dixon pdixon at iastate dot edu 2121 Snedecor Hall Ames IA 50011-1210 515-294-2142 on campus: 4-2142 Office Hours: Thursday 9-10 am and 4-5 pm TA/grader Senniang Chen, 3211 Snedecor, 515-294-6609, snchen at iastate dot edu TA office hour: Thursday, 11am - noon Questions:: Please feel free to e-mail ( pdixon at iastate dot edu or snchen at iastate dot edu ) anytime with questions or comments. Text: Ramsey, F.L. and Schafer, D.W., 2001/2012. The Statistical Sleuth, Either the 2nd ed. or the 3rd ed. is acceptable this year. Duxbury SAS info:(all optional) Elliot, R. J., 2000. Learning SAS in the Computer Lab. 2nd ed. Duxbury Delwiche, L. D. and Slaughter, S. J. 1998. The Little SAS book, 2nd ed. SAS Institute Press Goals: 1) Understand variation and its consequences for drawing conclusions from data.  2) Be familiar with some standard statistical methods:        when and how to use them        how to interpret statistical results. 3) Be able to apply statistical principles to novel problems.  This class emphasizes the appropriate analysis of experimental data. I presume you will be using class material within the next year. If it will be two or three years before you analyze data, I suggest you delay taking 401. Grading: Weekly Homework: 120 pts  Two Midterms: 100 pts each  Final: 130 pts Course Outline (proposed):
 Week Dates Chapter Topic 1 Aug 20 - 24 1 Types of studies, Statistical Inference, Data summary 2 Aug 27 - 31 2 Comparison of two groups:     Hypothesis tests Sep 3, Labor Day No class 3 Sep  5-7 2 Confidence Intervals 4 Sep 10-14 4 Nonparametric methods 5 Sep 17-21 3 Assumptions and robustness 6 Sep 24 - 28 5 Comparison of multiple groups 7 Oct 1 - 5 6 Linear combinations and multiple comparisons Oct 8 MIDTERM I due at start of class (9am) 8 Oct 8 - 12 6 False Discovery Rate, Choosing a method 9 Oct 15 - 19 7, 8 Linear regression 10 Oct 22 - 26 8, 9 Lack of Fit, Correlation, Multiple Regression 11 Oct 29 - Nov 2 9, 10, 11 Multiple regression (cont.) 12 Nov 5 - 9 12 Model selection Nov 12 MIDTERM II due at start of class (9am) 13 Nov 12 - 16 13,14 Two-way ANOVA (intro) Nov 19 - 23 Thanksgiving break, no class 14 Nov 26 - 30 18, 19 Contingency tables 15 Dec 5 - 9 20, 21 Logistic regression Dec 14 (tentative) Final exam due by 5pm

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