Violation of assumptions in statistics
[DOC File]Homework 5, Statistics 112, Fall 2004 - Statistics Department
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Also, the normal quantile plot does not indicate any violation of normality. There are no points that have Cook's distance greater than 1 (indicating that there are no influential points) and no points that have leverage greater than 15/100 (indicating that there are no high leverage points). The assumptions of the multiple linear regression ...
[DOC File]We assume first that the relata of the type causal ...
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In the last several decades, a confluence of work in the social sciences, philosophy, statistics, and computer science has developed a theory of causal inference using directed graphs. This theory typically rests either explicitly or implicitly on two major assumptions: Causal Markov Assumption:
[DOC File]OLS Assumptions - Webs
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No measurement error (biased estimates: inflated) ( = “true” intercept a = population intercept How: subtract each X from the mean of X (same for Y)
[DOC File]2-2 - Humphreys
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Identify assumptions of statistical tests and address any violation of assumptions, Make decisions based on the results of the statistical analysis (for example: Are the results statistically significant?). Include relevant test statistic and p values. See the APA manual regarding how to present results in text, tables and figures,
[DOC File]Chi-square Tests of Independence and Homogeneity
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d) What violation of chi-square test assumptions is violated here? (1 pt.) The table below combines the two tattoo categories into one. Use this table to answer questions (e) & (f). Hepatitis C Status Tattoo Status Hepatitis C No Hepatitis C Row Total Tattoo 25 88 113 None 22 491 513 Column Total 47 579 n = 626
[DOC File]MULTIPLE REGRESSION AND CORRELATION
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Havlicek, L., & Peterson, N., (1977). Effects of the violation of assumptions upon significance levels of the Pearson r. Psychological Bulletin, 84, 373-377. [You can get away with a lot - regression is remarkably robust with respect to violating the assumption of normally distributed residuals.
[DOC File]Violations of Classical Linear Regression Assumptions
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Title: Violations of Classical Linear Regression Assumptions Author: Jhess Last modified by: jhess Created Date: 9/24/2003 7:41:00 PM Company: uh Other titles
[DOC File]UDP520 Mid-term Exam Review - University of Washington
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Title: UDP520 Mid-term Exam Review Author: Hit-Enter-Now Last modified by: Hit-Enter-Now Created Date: 11/14/2003 11:00:00 PM Company: UofW CAUP Other titles
[DOC File]Assumption of the Ordinary Least Squares Model
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Assumptions A, B1, B2, and D are necessary for the OLS problem setup and derivation. Assumption A states the original model to be estimated must be linear in parameters. Paired observations and the number of observations being greater than k is again part of the original problem set up.
[DOC File]How to interprete the minitab output of a regression analysis:
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The corresponding test statistics are 89.09 and -52.10 indicating that these are too large values of t-statististics and lie on the extreme ends of t-curve. ... Checking the validity of the assumptions: ... there is violation of assumption of independence indicate that there is some other factor which is playing role behind the screen and we ...
[DOC File]CHAPTER 8
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But we know that heteroskedasticity causes statistical inference based on the usual t and F statistics to be invalid, even in large samples. As heteroskedasticity is a violation of the Gauss-Markov assumptions, OLS is no longer BLUE. 8.3. False. The unbiasedness of WLS and OLS hinges crucially on Assumption MLR.4, and, as we know from Chapter 4 ...
[DOC File]Questions for Statistics
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Check any violation of assumptions (i.e., normality, constant variance, outliers, and multicollinearity). Discuss in detail how you can improve the model. Write an essay about the findings. The essay should include, but not limited to, the effect (strength and direction) of each significant variable on the dependent variable and possible ...
[DOC File]Statistics 215 - Carleton College
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There is no apparent violation of the near-normality condition. Note that the boxplot . for these data show three outliers, but they are somewhat symmetric. Letting µd represent the. mean (population) difference between paper and online test scores, and again using the hypotheses Ho: µd = 0 versus Ha: µd ≠ 0, SPSS gives
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