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Michigan - CHEM - 216
MSDS Number: A6960 * * * * * Effective Date: 11/02/01 * * * * * Supercedes: 12/10/99ANISOLE1. Product IdentificationSynonyms: Methoxybenzene; phenyl methyl ether CAS No.: 100-66-3 Molecular Weight: 108.14 Chemical Formula: C6H5OCH3 Product Codes:
Arizona - AZ - 1359
Effect of Planting Hole Size and Amendments on Growth and Establishment of Acacia farnesianaUrsula K. Schuch1, Jack Kelly2, and Frank Stryker3 Plant Sciences Department, University of Arizona, Tucson, AZ 85721 2 Pima County Cooperative Extension, 42
Arizona - GEO - 251
Geos 251 (Fall 2007)Final Exam review sheetFor the final exam, you should be familiar with the material covered in the first two exams (review sheets online) as well as the following terms and ideas covered during last third of the class: Atmosph
Arizona - NATS - 101
Pop Quiz - E.C. for Quiz 35 minutesList two ways that eddies are formed in the atmosphere.List three examples of thermal circulation in the atmosphere.Oceanic Gyre ReviewThe Ekman spiral describes,a. ocean eddies which spin off of the Gulf St
Oakland University - XSOC - 73994
Brief Introduction to Generalized Linear ModelsThe purpose of this handout is to briefly show that several seemingly unrelated models are actually all special cases of the generalized linear model. (Indeed, I think most of these techniques were init
Oakland University - XSOC - 73994
Discussion Questions for Logistic Regression using Stata Rather than go through my old notes in detail, I plan to have you discuss these questions in class (so spend some time working on them beforehand). Most of this is material you have learned in
Oakland University - XSOC - 73994
Scalar Measures of Fit: Pseudo R2 and Information Measures (AIC & BIC) Long and Freese (2003, 2006), Long (1997) and Powers & Xie (2000) are major sources for these notes (the worked examples are mine but a lot of the text comes directly from their b
Oakland University - XSOC - 73994
Prelude to Discussion of Standardized Coefficients Following are results of two bivariate and one multivariate logistic regressions using a data set I constructed:. use http:/www.nd.edu/~rwilliam/xsoc73994/statafiles/standardized.dta . logit ybinary
Oakland University - XSOC - 73994
Standardized Coefficients in Logistic RegressionNOTE: Long and Freeses spost9 programs are used in this handout; specifically, the listcoef command, which is part of spost9, is used. Use the findit command to locate and install spost9. See Long and
Oakland University - XSOC - 73994
ologit problems on hypothesis testing and interpretation of resultsWe will discuss these and/or similar questions in class, so prepare for these beforehand. Hypothesis testing and interpretation of results is very similar in ologit and logit. If in
Oakland University - XSOC - 73994
Ordinal Regression 2: Hypothesis Testing & Interpreting ResultsThis handout borrows heavily (often verbatim) from Long and Freese 2006 chapter 5 and Long 1997. Basic Hypothesis Testing. Hypothesis testing proceeds pretty much the same as it does in
Oakland University - XSOC - 73994
gologit2: Generalized Logistic Regression/ Partial Proportional Odds Models for Ordinal Dependent VariablesRichard Williams Department of Sociology University of Notre Dame July 2005 http:/www.nd.edu/~rwilliam/Key features of gologit2Backwards co
Oakland University - XSOC - 73994
gologit2: Generalized Logistic Regression/ Partial Proportional Odds Models for Ordinal Dependent VariablesRichard Williams, University of Notre Dame, July 2005, http:/www.nd.edu/~rwilliam/. use "http:/www.nd.edu/~rwilliam/gologit2/ordwarm2.dta" (7
Oakland University - XSOC - 73994
Interpreting and using heterogeneous choice & generalized ordered logit modelsRichard Williams Department of Sociology University of Notre Dame July 2006 http:/www.nd.edu/~rwilliam/The gologit/gologit2 modelThe gologit (generalized ordered logit)
Oakland University - XSOC - 73994
Supplemental Notes on the intreg Command I think the Stata documentation makes the construction of the data set much more complicated than is necessary! Two recode commands can get you the upper and lower bounds of the intervals. Here is a much simpl
Oakland University - XSOC - 73994
Models for Count Outcomes, Part IThese notes borrow heavily (sometimes verbatim) from Long 1997, Regression Models for Categorical and Limited Dependent Variables, and Long & Freese, 2003 Regression Models for Categorical Dependent Variables Using S
Oakland University - XSOC - 592
From Harnett & Soni, Statistical Methods for Business and Economics, Fourth Edition
Oakland University - XSOC - 592
Sociology 592 - Homework #2 - Probability, Probability distributions, Expectations, Binomial distribution1. A researcher is interested in mortality in Mexico and the United States. She draws a random sample of 1,000 people from each country. She re
Oakland University - XSOC - 592
Normal distributionThe normal distribution is the most widely known and used of all distributions. Because the normal distribution approximates many natural phenomena so well, it has developed into a standard of reference for many probability proble
St. Thomas - MATH - 210
Math 210-04 Quiz #7 KEY Monday, March 9, 2009Name:1. During the period from 1790 to 1930, the U.S. population P (t) (t in years, P in millions of people) grew from 3.9 million to 123.2 million. Throughout this period, P (t) remained close to the
St. Thomas - MATH - 210
Math 210-04 Quiz #8 KEY Friday, March 13, 2009 Consider the initial value problem dy = x y 1, dx 1. Use a step size of h =1 4Name:y(0) = 1 using Eulers methodand estimate y1 2We have f (x, y) = x y 1 so the rst guess is 1 1 1 y1 = y0 +
Oakland University - XSOC - 592
Two sample tests Cases IV, VD. Case IV: Matched Pairs, unknown.1. Sometimes it happens that subjects are actually sampled in pairs and the scores of the members of the pair are not necessarily independent. T You might be interested in comparing
St. Thomas - MATH - 316
Math 316-01 Homework Set 5 Instructions: Work each of the assigned problems. Write the solution to each problem in an organized and concise manner. Homework sets that are messy and disorganized will not be graded. The rst four problems are due Wednes
Oakland University - XSOC - 592
Sociology 592 - Homework #5 - Two sample testsAs you answer questions 1-3, begin by stating what case the problem falls under. 1. An examination was given to a random sample of 10 students from a public school (population 1) and a random sample of
St. Thomas - MATH - 316
Math 316-01 Homework Set 3 Instructions: Work each of the assigned problems. Write the solution to each problem in an organized and concise manner. Homework sets that are messy and disorganized will not be graded. This homework set is due on Friday,
St. Thomas - MATH - 316
Math 316-01 Homework Set 6 Instructions: Work each of the assigned problems. Write the solution to each problem in an organized and concise manner. Print out and attach (output deleted) any Mathematica code you used to solve the problems. Homework se
Oakland University - XSOC - 592
Choosing the Correct Procedure: ExamplesThe following will be discussed in class. You have been asked to serve as a statistical consultant for several proposed projects. For each of the following, indicate which of the cases we have studied the prob
Oakland University - XSOC - 592
Sociology 592 - Homework #7 - Two way Anova, Choosing the Right ProcedureA manufacturer frequently sends small packages to a customer in another city via air freight, and in many cases it is important for a package to reach the customer as soon as
Oakland University - XSOC - 592
Sociology 592 - Homework #8 - Bivariate Regression1. We wish to explore the relationship between monthly food consumption (y) and family monthly income (x), both measured in hundreds of dollars. Here is part of the output produced by an SPSS analys
Oakland University - XSOC - 592
Multiple regression - MatricesThis handout will present various matrices which are substantively interesting and/or provide useful means of summarizing the data for analytical purposes. As we will see, means, standard deviations, and correlations ar
Oakland University - XSOC - 592
Using Stata with Multiple Regression & Matrices1. Matrix calculations with Stata. Stata has several built-in functions that make it work as a matrix calculator. These functions are probably primarily helpful to programmers who want to write their ow