c) Small/Independent Samples (Fisher’s exact test)IV. Analysis of 2-Way Contingency TablesV. Linear and Nonlinear RegressionVI. Logistic RegressionVII: 2-Factor ANOVA & Repeated Measures DesignsSTA 3024 – Intro to Stats IIFall 2005Instructor: Dr. Larry WinnerOffice: 228 Griffin-Floyd HallOffice Hours: TBAE-mail: [email protected] Web site: http://www.stat.ufl.edu/~winner/Textbooks: Introduction to the Practice of Statistics, 4 th Ed., by D. Moore and G. McCabe (and Print Supplement, Chapters 14,15)Introduction to Biostatistics, by L.Winner (on class websitePCourse Description: STA 3024 gives an overview of statistical methods used to determine associations among sets of variables. We will typically classify variables as numeric or categorical, as well as normally distrbuted or non-normal. Statistical methods used to make inferences among populations based on sample data will be covered for commonly encountered experimental and observational datasets.Topics Covered:- Comparing 2 Population Means- Comparing 2 Population Proportions- Comparing I > 2 Population Means- Analysis of 2-Way Contingency Tables- Linear and Nonlinear Regression- Logistic Regression- 2-Factor Analysis of VarianceGrading:- Homework assignments will be assigned, but not taken up.- 3 in-class (2 hour) exams will be given (each counting 33% of final grade)- Exam 1: Thursday, September 22- Exam 2: Thursday, October 27- Exam 3: Thursday, December 1Topics/Sections/Problems:I. Comparing 2 Population Means:a) Independent Samples/Normal Data (2-sample t-test) ITPS: Section 7.2 Problems: 53,56,57,65,66,67,71,75,79,81,107,109,112,117,121 IB: Sections 3.1.1,3.4.1,4.1 , Problems: 12,13,16b,22b) Independent Samples/Non-normal Data (Wilcoxon Rank-sum test) ITPS: Section 14.1 Problems: 3,5,6bc,12,13,14 IB: Section 3.4.1 Problems: 14c) Dependent Samples/Normal Data (Paired t-test) ITPS: Section 7.1 Problems: 29,30,31 IB: Sections 3.4.2,4.2 Problems: 15,16a,17b,18,19,22d) Dependent Samples/Non-normal Data (Wilcoxon Signed-Rank Test) ITPS: Section 14.2 Problems: 12,13,14 IB: Section 3.4.2 Problems: 17a,20II. Comparing 2 Population Proportions:a) Large/Independent Samples (z-test) ITPS: Section 8.2 Problems: 33,34,35,36,37,38,39,40,41,42,43,47,49,59,69,73,77,79b) Relative Risk and Odds Ratio IB: Sections 5.1.1,5.1.2 Problems: 23,24,25,26c) Small/Independent Samples (Fisher’s exact test) IB: Section 5.1.5 Problems: 27d) Large/Dependent Samples (McNemar’s Test) IB: Section 5.1.6 Problems: 28III. Comparing I > 2 Population Meansa) Independent Samples/Normal Data (ANOVA F-test/Multiple Comparisons) ITPS: Sections 12.1,12.2 Problems: 1-5,7,9,11-14,32-35,43,45 IB: Section 6.1.1 Problems: 35,36,37b) Independent Samples/Non-normal Data (Kruskal-Wallis Test) ITPS: Section 14.3 Problems: 22,23cd,24,26 IB: Section 6.1.2 Problems: 38c) Dependent Samples/Normal Data (ANOVA F-test/Multiple Comparisons) IB: Section 6.2.1 Problems: 39d) Dependent Samples/Non-normal Data (Friedman’s Test) IB: Section 6.2.2 Problems: 40IV. Analysis of 2-Way Contingency Tables ITP: Chapter 9 Problems: 1,7,8,9,10,11,12,17,19,28,31,33,37 IB: Section 5.2 Problems: 29,30V. Linear and Nonlinear Regressiona) Simple Linear Regression ITP: Chapter 10 Problems: 1,2,4,9,11,13,14,16,19,20,23,32,33,37,39 IB: Sections 7.1-7.3 Problems: 44, 45b) Nonlinear Regression ITP: pp675-676 IB: Section 8.2 Problems: 49,50c) Multiple Regression ITP: Chapter 11 Problems: 1-10,13-15,17,18,24-29 IB: Section 7.4 Problems: 46,47VI. Logistic Regression ITP: Chapter 15 Problems: 1-6,9-13 IB: Section 8.1 Problem 48VII: 2-Factor ANOVA & Repeated Measures Designsa) 2-Factor ANOVA ITP: Chapter 13, Problems: 1,3,5,7,9,13-18,23,24,25 IB: Section 6.3.1 Problems: 41b) Repeated Measures Designs IB: Section 6.3.3 Problem: