DQE+-+Problem+Solving+Oriented+Checksheets

Problem-Solving Oriented Checksheets (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 ]

[|(only listed again)][|Regression Similarities Summary.doc] | Bartlett’s Sphericity Test | || Index to Homework Solutions Page
 * ||  || Emai l Phil for copies. ||   || Reorganize a bit if used for another DQE. Work the indiexes a bit too. ||
 * **Topics** ||  || **Problem-Solving Oriented Checksheets** ||   || **Other Summaries and Comments** ||
 * Sessions 9-10:Regression Analysis ||  ||   || Reposted 1/26/2011 - 11:20 || Degrees of Freedom | Anova Table Formats | Credibility Intervals | Confidence Intervals versus Credibility Intervals | Academic Correctness | Added 1/26/2011 13:59 Hypothesis Test | Realization - (we still don't have Van Dorp's words) [See also EMSE 208 Realization]  ||
 * ||  ||   ||   || Discussion on t-statistic, t-value, p-values. What is the difference? P-value page is good; better since we clarified explicttly that the p-value can apply to different diistributions. Still no good write up on t-statistic, t-value (and standard error) { Hole!} ||
 * ||  ||   || Reposted 1/26/2011 - 10:51 || The notes to the left address Model Adequacy and Validation regression with a regression emphasis. Regression Similarities Summary does a little as well. ANOVA assumptions that need to be validated are listed in the ANOVA Problem-Solving Orient Check sheet to the left in the next row. ||
 * ||  ||   ||   || Standard Error of Forecast: Was used with the Leslie Salt example. May (TBD) apply to any regression where the values being forecasted are far from the mean. ||
 * Sessions 13-14: ANOVA ||  ||   || Reposted 1/26/2011 - 10:35 || Analysis of Variance. In addtion to the above downloads: F-Distribution; Bartlett's Test for Equality of Variance; P-Value | [|Confidence & Credibility Intervals (and Critical Region.doc] (like Confidence Intervals versus Credibility Intervals better for solving the problems. ||
 * ||  ||   ||   || [[image:http://www.wikispaces.com/i/mime/32/application/vnd.openxmlformats-officedocument.spreadsheetml.sheet.png width="32" height="32"]] [|P06 -- 2K Factorial (Contrasts) Problem 1 -With Embedded Help.xlsx]
 * This spreadsheet was critical **in practice tests 1&2 in showing the formulas needed to solve the 2K Factorial problem ||
 * Sessions 11-12: PCA - Principal Components ||  ||   ||   || In addition to the above downloads:
 * - Eignevalues / Eigenvectors ||  ||   ||   ||   ||
 * Sessions 1-2: Probability and Statistics Review ||  ||   ||   || Exploratory Data Analysis ||
 * - Probability Calculus ||  ||   ||   ||   ||
 * - Expected Value ||  ||   ||   ||   ||
 * Sessions 3-4: Univariate Analysis ||  ||   ||   || Estimator Distributons | (Good estimators: unbiassedness, minimum variance, consistency) | Significance Level | Type I and Type II errors, see EMSE 271 Sesssions 1-6 slide extract. ||
 * Session 5: Matrices and Vectors ||  ||   ||   ||   ||
 * Session 6: Multivariate Point Estimation ... Hotellings Tests ||  ||   ||   ||   ||
 * Session 5: Matrices and Vectors ||  ||   ||   ||   ||
 * Session 6: Multivariate Point Estimation ... Hotellings Tests ||  ||   ||   ||   ||


 * Sources:**
 * EMSE 271, Fall 2009; January 2010 Study Group