Midterm Exam Study Guide - Statistical Methods | STAT 500, Exams of Data Analysis & Statistical Methods

Material Type: Exam; Class: STATISTICAL METHODS; Subject: STATISTICS; University: Iowa State University; Term: Unknown 2005;

Typology: Exams

Pre 2010

Uploaded on 09/02/2009

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STAT 5 00 - STATISTICAL METHODS
(4 hours per week)
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 ed.
th
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
1 2121 21 2 1 2
and tests for :, F, B, 0, and D; tests and confidence intervals for : - :, F/F, B - B, D - D and 0 - 0 from two
1 2121 21 2 1 2
independent samples; tests and confidence intervals for : - :, F/F, B - B, D - D and 0 - 0 from paired
samples; sample size requirements for confidence intervals and tests; assumptions and effects of violating
assumptions. 1 Midterm Examination (100 points)
st
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 Midterm Examination (100 points)
nd
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; interpr etation 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 estima tes of variance components; sample size requirements for simultaneous tests and co nfidence intervals;
assumptions and effects of violating assumptions.
Final Comprehensive Examination (week 16, 150 points)
Note: All examinations are closed-book/notes.

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STAT 500 - STATISTICAL METHODS

(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.