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Material Type: Exam; Class: STATISTICAL METHODS; Subject: STATISTICS; University: Iowa State University; Term: Unknown 2005;
Typology: Exams
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(4 hours per w eek)
Instructor : D. G. Bonett
Prerequisites : Introductory statistics, calculus, linear algebra
Text : Kutner, M.H., Nachtsheim, C.J. Neter, J. Li, W. (2005) Applied Linear Statistical Models , 5 thed. McGraw-Hill.
Part I. Basic Methods (weeks 1 - 5)
Populations, sampling, and random variables; univariate and bivariate expectations and moments; normal and binomial distributions; methods of estimation; univariate and bivariate sampling distributions; asymptotic results; estimation of mean (:), standard deviation (F), proportion (B), median ( 0 ) and correlation (D); confidence intervals and tests for :, F, B, 0 , and D; tests and confidence intervals for : 1 - : 2 , F 1 /F 2 , B 1 - B 2 , D 1 - D 2 and 01 - 0 2 from two independent samples; tests and confidence intervals for : 1 - : 2 , F 1 /F 2 , B 1 - B 2 , D 1 - D 2 and 0 1 - 02 from paired samples; sample size requirements for confidence intervals and tests; assumptions and effects of violating assumptions. 1 st Midterm Examination (100 points)
Part II. Regression Analysis (weeks 6 - 10)
Tests and confidence intervals for y -intercept, slope, conditional mean, and disturbance variance; prediction intervals, inverse prediction, influential observations; diagnostic methods; multiple regression model, interpretation of model parameters, standardized coefficients; dummy variables, modeling interaction effects, polynomial regression; generalized least squares; sample size requirements for tests and confidence intervals; assumptions and effects of violating assumptions. 2 nd Midterm Examination (100 points)
Part III. Design and Analysis of Experiments (weeks 11 - 15)
Tests and confidence intervals for linear contrasts of means, proportions, and medians in single-factor experiments; classifications factors; interpretation of main effects, interaction effects, simple effects; measures of effect size; randomized block and repeated measures designs; analysis of covariance; random coefficient models; point and interval estimates of variance components; sample size requirements for simultaneous tests and confidence intervals; assumptions and effects of violating assumptions.
Final Comprehensive Examination (week 16, 150 points)
Note : All examinations are closed-book/notes.