DQE+Potential+Question+Analysis

DQE Potential Question Analysis (DQE Prep) (GWU EMSE-271)
Index | Topics (Logical Lectures) | Lectures | Problems | Readings | Nomenclature | Concepts

Top Concepts | Fill in the blank calculations | Academic Correctness | Notes | Other Oohs and Aahs | Test Question Bank | Problem-Solving Oriented Checksheets | Q for VD | Definititions (TBD) | Symbols (TBD) | Potential Question Analysis (Mulitvariate Analysis) | Classical Statistical Inference | 2011 Study Plan | Problems Index ]


 * Classical Statistical Inference]**


 * Priorities: High, Medium, Low; MH, etc.; E - probably embedded in another question; W - Wild Card**


 * Multivariate Analysis Methods**
 * **Priority** || **Source** || **Problem** || **Category** || **Comments** ||
 * L || Session 9 Lecture || Regression: Height-Weight Sample || Calcuation (Wild Card) / concepts || Forecasting, R-Squared, Adj R-Squared (at least partly will be repeated in other problems. Slide 200 is a good slide. Prediction ~ Forecasting ||
 * M || Homework 6 || Regression Analysis: :Absentee.xls || Fill in the blanks / concepts ||  ||
 * H || Session 10 Lecture || Regression Analysis: Leslie Salt || Fill in the blanks / concepts (especially model validity) || Selecting independent variables; Residual Analysis (using Standard Error of Residuals) QUESTION: Is the cell on VD spreadsheets labeled standard error and on the Excel outputs the standard error of the residuals? Need to be able to relate the Hypothesis test to the outputs. More on model validity. See wiki Regression Analysis checksheet . ||
 * ? ||  || more Leslie Salt || concept || Comparing Models, Slide 222. Interaction effect. Still at a lost on how to figure out how to do this and to do it, but won't be a calcaution on test. Merely interpretation if included. ||
 * M ||  || Standard Error of Forecast || calculation || Sampling and model error adjustment. Still not sure how this translated into the real estimate. To me looked like he did something different, but just calcuations if the right data is availalbe. [Think about the cells on the right side of VD spreadsheets as the fill in the blanks spaces?] ||
 * || Session 11 Lecture || PCA: Cognition ||  ||   ||
 * MH ||  || PCA: Magazine Readers - Loading Share Analysis || fill in the blanks || See slide 254. We did a bunch of these kinds of calculations. For few componetns it is calculator possible (just a little time consuming) ||
 * L || Session 11 Reading || Scale Development || very wild card || Is there a just a little we can do to be ready for something on this? ||
 * ? || Homework 7 || Verify Eigenvectors || calculation || To me this is more mechanics than conceptual or practical. Could be considered a fill in the blank calcuation. What do you think Loren? Should we figure how what can (relatively) easily be done on a calculator and learn to do it? ||
 * || Session 12 Lecture || PCA: Economic Activity (Dependency) || concept || Overview of postive and negativel loadings. Postive and negative loadings and Academic Correctness interpretations. ||
 * L ||  || Bartlett's Sphericity Test || calculation? || Have to figure natural log as part. If given, rest is doable. Have a check sheet to follow. (Slide 273) ||
 * L ||  || When to use PCA || concept || May be a part of PCA problem ||
 * H ||  || PCA: Stock Example ||   || Academic Correctness example on slide 284? ||
 * M || Homework 8 || Government.xls and DrugUsage.xls || fill in the blanks calculation (a little concept) || Computing eignenvalues, etc. from the Correlation Matrix is something we can't do. Some of the spreadsheet post-cacluations, like the Bartlett's sphericity test? we can do. Also Loading Share Analysis - table like on Slide 254. ( More work here to clarify ). ||
 * H || gov.xls spreadsheet || Scree Plot / Kaiser's Rule || concept || Might be able to do a Scree plot. ||
 * M || gov.xls spreadsheet || Loading Analysis || concept || Could be asked to do interpreation of plot is given. We need to look at Academic Correctness here. I feel I did not do this well enough. ||
 * || Session 13 || Comparision of Tests || uhm || Slides 281-284 ||
 * ML ||  || Tensile Strength || some calculations; which F values || Note: Two-Sample t-test would distort type I error (Slide 285) ||
 * MH ||  || Tensile Strength w/Contrasts || some calculations; which F values ||   ||
 * H || Homework 9 & Solutions || Cereal Thiamin || calculation || Minitab confirms 2-3 model adequacy checks. Excel duplicates equality of variance with Bartlett's test. Phil assumes this will be on test in one of the problems. Don't know if he will give us the LN or if we need a calcuator with it. ||
 * M || Session 14 || Primer Adhesion (2-Way ANOVA) || fill in the blanks || Could ask for totals or averages (Slide 312). Could give us the Sum of the Squares and ask up to enter degrees of freedom and compute MS. (I'd make the probabiliy higher, but is does not seem like enough work. ||
 * H? ||  || Router Experiment (2K Factorial ANOVA) || fill in the blanks || Could ask us to complete table on Slide 323. But I don't know how yet. Slide 328 looks simple enough. Would need to practice a lot. Sums of Squares can be calculate easilty too - Sldie 329. ||
 * ? ||  || Etching Problem ||   ||   ||


 * Sources:**
 * EMSE 271, Fall 2009