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Oregon State University - ECE - 474
Georgia Tech - CS - 6660
%!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: x1.dvi %Pages: 6 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentFonts: CMBX12 CMR10 CMTT10 %EndComments %DVIPSCommandLine: dvips -Pdistill -f x1.dvi %DVIPSParam
Susquehanna - BIOL - 010
Dietary Guidelines for Americans 2005U.S. Department of Health and Human Services U.S. Department of Agriculture www.healthierus.gov/dietaryguidelinesiMESSAGE FROM THE SECRETARIESWe are pleased to present the 2005 Dietary Guidelines for Americans. Thi
UMass (Amherst) - BIOL - 497
Ecology, 85(2), 2004, pp. 519530 2004 by the Ecological Society of AmericaUSING A GENERALIZED VEGETATION MODEL TO SIMULATE VEGETATION DYNAMICS IN NORTHEASTERN USATHOMAS HICKLER,1,4 BENJAMIN SMITH,1 MARTIN T. SYKES,1 MARGARET B. DAVIS,2 SHINYA SUGITA,2 A
Penn State - CHEM - 112
Chemistry 13 Final Exam Form A Summer 2006Name Section Student No._ _ _CHEMISTRY 13 FINAL EXAM Summer 06 FORM A-1. What is the oxidizing agent in the reaction below which occurs in dry cell batteries? Zn (s) + 2NH4+ (aq) + 2MnO2 (s) A. Zn (s) B. NH4+
Penn State - CHEM - 112
Chem 13 Summer 2006 Exam 3 6/14/06 Answer KeyForm A 1. E 2. C 3. B 4. C 5. D 6. A 7. B 8. C 9. D 10. B 11. C 12. C 13. A 14. E 15. B 16. C 17. A 18. D 19. C 20. D 21. E 22. B 23. D 24. E 25. D Form B 1. E 2. D 3. A 4. D 5. B 6. A 7. C 8. E 9. D 10. D 11.
Penn State - CHEM - 112
Chemistry 13 Exam III Form A Summer 2006Name Section Student No._ _ _IMPORTANT: On the scantron (answer sheet), you MUST clearly fill your name, your student number, section number, and test form (white cover = test form A; yellow cover = test form B).
Penn State - CHEM - 112
Chemistry 13 Exam II Form A Summer 2006Name Section Student No._ _ _CHEMISTRY 13 EXAM 2 Summer 06 FORM A-BASIC SKILLS -1. What is the pH of a solution made by mixing 18.3ml of 0.0340M HI(aq) with 14.3ml of 0.0570M HBr(aq)?IMPORTANT: On the scantron (
Penn State - CHEM - 112
Chem 13 Summer 2006 Exam 1 5/22/6 Answer KeyForm A1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. D A A A C A A E C B A B C A D D B C A E B A C CForm B1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18
Penn State - CHEM - 112
Chemistry 13 Exam I Form A Summer 2006Name Section Student No._ _ _CHEMISTRY 13 EXAM 1 Summer 06 FORM A-1. A reaction was found to be second order in carbon monoxide concentration. What happens to the rate of the reaction if the concentration of carbo
University of Hawaii - Hilo - PHIL - 110
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Oakland University - XSOC - 63992
Table 1: Cumulative Normal Probabilitiesz 0.00 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.10 0.11 0.12 0.13 0.14 0.15 0.16 0.17 0.18 0.19 0.20 0.21 0.22 0.23 0.24 0.25 0.26 0.27 0.28 0.29 0.30 0.31 0.32 0.33 0.34 F(z) 0.50000000 0.50398936 0.50797831
Oakland University - XSOC - 63992
Appendix E: Tables[Microsoft Excel clones of Hays, 4th edition, Appendix E]Appendix E: Tables - Page 1Table 1: Cumulative Normal Probabilitiesz 0.00 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.10 0.11 0.12 0.13 0.14 0.15 0.16 0.17 0.18 0.19 0.20 0.
Oakland University - XSOC - 63992
Oakland University - XSOC - 63992
From http:/www.straightdope.com/classics/a3_189.htmlHome Page | Message Boards | News | Archive | Ask Cecil | Books | Buy Stuff | FAQs, etc. ]On "Let's Make a Deal," you pick Door #1. Monty opens Door #2-no prize. Do you stay with Door #1 or switch to #
Oakland University - XSOC - 63992
Appendix D: The Monty Hall ControversyAppendix D: The Monty Hall Controversy - Page 1Let's Make a Deal Prepared by Rich Williams, Spring 1991 Last Modified Fall, 2004 You are playing Let's Make a Deal with Monty Hall. You are offered your choice of door
Oakland University - XSOC - 63992
The Monty Hall DebateThe Monty Hall DebateFAIR USE NOTICE. This document contains copyrighted material whose use has not been specifically authorized by the copyright owner. The CHANCE project is making this material available as part of our mission to
Oakland University - XSOC - 63992
Sociology 592 - Homework #10 - Advanced Multiple Regression1.In their classic 1982 paper, Beyond Wives' Family Sociology: A Method for Analyzing Couple Data, Thomson and Williams examined the relationship between the subjective expected utility of child
Oakland University - XSOC - 63992
Analytic Strategies: Simultaneous, Hierarchical, and Stepwise RegressionThis discussion borrows heavily from Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, by Jacob and Patricia Cohen (1975 edition). The simultaneous model.
Oakland University - XSOC - 63992
Qualitative IVs & Dummy Variables; F-tests for IV subsets; ANOVA Versus RegressionThis handout addresses 3 questions: (1) How can the effects of qualitative independent variables (such as race) be included in a regression analysis? Our answer will includ
Oakland University - XSOC - 63992
Semipartial (Part) and Partial CorrelationThis discussion borrows heavily from Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, by Jacob and Patricia Cohen (1975 edition; there is also an updated 2003 edition now). Overview.
Oakland University - XSOC - 63992
Supplemental notes on Semipartial Correlations This discussion borrows heavily from Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, by Jacob and Patricia Cohen (1975 edition; there is also an updated 2003 edition now). When I
Oakland University - XSOC - 63992
Supplemental Notes on Standardized CoefficientsNOTE: Long and Freeses spostado programs are used in this handout; specifically, the listcoef command, which is part of spostado, is used. Use the findit command to locate and install spostado. See Long and
Oakland University - XSOC - 63992
Standardized CoefficientsTask. How do you decide which of the Xs are most important for determining Y? In this handout, we discuss one possible (and controversial) answer to this question - the standardized regression coefficients. Formulas. First, we wi
Oakland University - XSOC - 63992
Standard errors for regression coefficients; MulticollinearityStandard errors. Recall that bk is a point estimate of k. Because of sampling variability, this estimate may be too high or too low. sbk, the standard error of bk, gives us an indication of ho
Oakland University - XSOC - 63992
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 own rou
Oakland University - XSOC - 63992
Sociology 592 - Homework #9 - Intro to multiple regression, matrices1.In the handout on 1-way ANOVA, we considered the following problem: An economist wants to test whether mean housing prices are the same regardless of which of 3 air-pollution levels t
Oakland University - XSOC - 63992
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 are sub
Oakland University - XSOC - 63992
Multiple Regression - IntroductionWe will add a 2nd independent variable to our previous example. Data are collected from 20 individuals on their years of education (X1), years of job experience (X2), and annual income in thousands of dollars (Y). The da
Oakland University - XSOC - 63992
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 analysis of
Oakland University - XSOC - 63992
Bivariate Regression - Part II. Background. We have previously studied relationships between (a) Continuous dependent variable and a categorical independent variable (T-Test, ANOVA); and (b) Categorical Dependent variable and a categorical independent va
Oakland University - XSOC - 63992
Bivariate Regression - Part IIUsually I present concepts and formulas first, and then work through examples. For variety, I will present the example first, and then give the rationale and procedures for working through it. Data are collected from 20 indi
Oakland University - XSOC - 63992
Using Stata for OLS RegressionIntroduction. Stata is a popular alternative to SPSS, especially for more advanced statistical techniques. This handout summarizes most of the points we cover in Stats I about using Stata for OLS regression, along with a few
Oakland University - XSOC - 63992
Using SPSS for OLS RegressionIntroduction. This handout summarizes most of the points we cover in Stats I about using SPSS for OLS regression, along with a few additional points. It assumes understanding of the statistical concepts that are presented. Wi
Oakland University - XSOC - 63992
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 possib
Oakland University - XSOC - 63992
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 problem f
Oakland University - XSOC - 63992
Two-Way Analysis of VarianceNote: Much of the math here is tedious but straightforward. We'll skim over it in class but you should be sure to ask questions if you don't understand it. I. OVERVIEW.A. Sometimes a researcher might want to simultaneously ex
Oakland University - XSOC - 63992
Using Stata for Two-Way Analysis of VarianceWe have previously shown how the following two-way ANOVA problem can be solved using SPSS. We will now approach it using Stata. Problem. A consumer research firm wants to compare three brands of radial tires (X
Oakland University - XSOC - 63992
Sociology 592 - Homework #6 - Categorical data analysis, One way Anova1. A random sample of 200 voters reveals that 115 favor the Democratic candidate while 85 favor the Republican. Test the hypothesis that both candidates have equal levels of support, u
Oakland University - XSOC - 63992
Using Stata for One-Way Analysis of VarianceWe have previously shown how the following one-way ANOVA problem can be solved using SPSS. We will now approach it using Stata. See the related handouts for the underlying theory and formulas. Problem: A firm w
Oakland University - XSOC - 63992
Multiple/Post Hoc Group Comparisons in ANOVANote: We may just go over this quickly in class. The key thing to understand is that, when trying to identify where differences are between groups, there are different ways of adjusting the probability estimate
Oakland University - XSOC - 63992
Using Stata for Categorical Data AnalysisNOTE: These problems make extensive use of Nick Coxs tab_chi, which is actually a collection of routines, and Adrian Manders ipf command. From within Stata, use the commands ssc install tab_chi and ssc install ipf
Oakland University - XSOC - 63992
One-Way Analysis of VarianceNote: Much of the math here is tedious but straightforward. We'll skim over it in class but you should be sure to ask questions if you don't understand it. I. Overview A. We have previously compared two populations, testing hy
Oakland University - XSOC - 63992
Categorical Data AnalysisRelated topics/headings: Categorical data analysis; or, Nonparametric statistics; or, chi-square tests for the analysis of categorical data. OVERVIEW For our hypothesis testing so far, we have been using parametric statistical me
Oakland University - XSOC - 63992
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 15 stu
Oakland University - XSOC - 63992
Using Stata for Two Sample TestsAll of the two sample problems we have discussed so far can be solved in Stata via either (a) statistical calculator functions, where you provide Stata with the necessary summary statistics for means, standard deviations,
Oakland University - XSOC - 63992
Two sample tests Special Topics; Using SPSSFor case IV, Matched pairs, we gave an example of husbands and wives and their influence on family decision-making. We are going to take another look at that example and do the following: I. We originally solved
Oakland University - XSOC - 63992
Two sample tests Cases I, II, IIII. Overview A. So far, we have concentrated on 1-sample tests. Often, however, we are interested in comparing 2 or more groups EXAMPLES. T Do women have lower wages than men? T Do smokers have higher cancer rates than non
Oakland University - XSOC - 63992
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 scores o
Oakland University - XSOC - 63992
Sociology 592 - Homework #4 - Single sample tests1.a)Given that the balance due on Sears charge cards last month is a normally distributed random variable with mean = 50 and standard deviation = 8, find: P(X $ 40), P(X # 54), and P(44 # X # 56). If a r
Oakland University - XSOC - 63992
Using SPSS for One Sample TestsSPSS isnt as good as Stata for one sample tests. As far as I know, it cant handle Case I at all. It does not have anything like Statas calculator functions, so you have to have raw data. More information is sometimes availa
Oakland University - XSOC - 63992
Using Stata for One Sample TestsAll of the one sample problems we have discussed so far can be solved in Stata via either (a) statistical calculator functions, where you provide Stata with the necessary summary statistics for means, standard deviations,
Oakland University - XSOC - 63992
Sociology 592 - Homework #3 - Normal distribution, T distribution, confidence intervals, intro to hypothesis testing1.Find the area under the standard normal curve (a) between z = 0 and z = 1.2 (b) between z = -0.46 and z = 2.21 (c) to the right of z =
Oakland University - XSOC - 63992
Sampling Distributions and One Sample TestsSo far, we have only talked about hypothesis testing in a very limited set of situations. We will now expand our discussion to cover a much broader array of cases. We begin with single sample tests: Hypotheses w
Oakland University - XSOC - 63992
Introduction to Hypothesis TestingI. Terms, Concepts.A. In general, we do not know the true value of population parameters - they must be estimated. However, we do have hypotheses about what the true values are. B. The major purpose of hypothesis testin
Oakland University - XSOC - 63992
Using Stata for Confidence IntervalsAll of the confidence interval problems we have discussed so far can be solved in Stata via either (a) statistical calculator functions, where you provide Stata with the necessary summary statistics for means, standard
Oakland University - XSOC - 63992
Confidence IntervalsI. Interval estimation.The particular value chosen as most likely for a population parameter is called the point estimate. Because of sampling error, we know the point estimate probably is not identical to the population parameter. T
Oakland University - XSOC - 63992
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 problems.I
Oakland University - XSOC - 63992
Estimation; Sampling; The T distributionI. Estimation A. In most statistical studies, the population parameters are unknown and must be estimated. Therefore, developing methods for estimating as accurately as possible the values of population parameters
Oakland University - XSOC - 63992
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 records
Oakland University - XSOC - 63992
The Binomial DistributionA. It would be very tedious if, every time we had a slightly different problem, we had to determine the probability distributions from scratch. Luckily, there are enough similarities between certain types, or families, of experim