'Significance test' presentation slideshows

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AUGUST

AUGUST. August 1.

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Statistical Methodology

T-Test, Chi-Squared, Mean, Median, Mode. Statistical Methodology. 2 Types of Statistics. 2 types of analysis techniques: 1. Descriptive statistics : techniques that help summarize large amounts of info. Include measures of variability and measures of correlation (Describe the data)

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6. Statistical Inference: Significance Tests

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The Dimensions of Poverty: Public Perceptions of the Deserving Poor

The Dimensions of Poverty: Public Perceptions of the Deserving Poor. The problem for this class is taken from the journal article: Jeffrey A. Will, "The Dimensions of Poverty: Public Perceptions of the Deserving Poor." Social Science Research , 22, 312-332 (1993).

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Quantitative Methods in Social Sciences (E774): Review Session X

Quantitative Methods in Social Sciences (E774): Review Session X. Dany Jaimovich November 25, 2009. Plan for today. PP4+A3 Correlations: Theory Review Test for correlations STATA OLS: Theory Review OLS vs Correlation Goodness of fit, Tests STATA. Correlations.

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Lecture 6: Efficient Markets and Excess Volatility

Lecture 6: Efficient Markets and Excess Volatility. The Efficient Markets Hypothesis. History of the Hypothesis Reasons to think markets are efficient Reasons to doubt markets are efficient Technical analysis Empirical evidence in literature Homework assignment and regressions.

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Serial Correlation and the Housing price function

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Power of a Signficance Test

Power of a Signficance Test. Everyone get a calculator, please. The power of a test (against a specific alternative value). Is the probability that the test will reject the null hypothesis when the alternative is true

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Applications and e valuation of global land cover maps

International symposium on land cover mapping for the A frican continent. Applications and e valuation of global land cover maps . Lu Liang, Peng Gong Department of Environmental Science, Policy and Management , University of California, Berkeley And

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Decision tree software C4.5

Decision tree software C4.5. Comp328 tutorial 2 Kai Zhang. Introduction. C4.5 is a program for inducing classification rules in the form of decision trees from a set of given examples. C4.5 is a software extension of the basic ID3 algorithm designed by Quinlan.

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Decision tree software C4.5

Decision tree software C4.5. Comp328 tutorial 2 Kai Zhang. Introduction. C4.5 is a program for inducing classification rules in the form of decision trees from a set of given examples. C4.5 is a software extension of the basic ID3 algorithm designed by Quinlan.

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Using margins to test for group differences in generalized l inear m ixed m odels

Using margins to test for group differences in generalized l inear m ixed m odels. Sarah Mustillo Purdue University. Stata Conference Chicago 2011. Introduction Examples Application Conclusion. Problem. The problem.

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Statistics for the Social Sciences

Statistics for the Social Sciences. Psychology 340 Fall 2006. Putting it all together. General. Specialized. The Relationship Among Major Statistical Methods. The general linear model. Multiple regression/correlation. Bivariate correlation. ANOVA. t-test. General. Specialized.

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Factor Analysis

Factor Analysis. Purpose of Factor Analysis Maximum likelihood Factor Analysis Least-squares Factor rotation techniques R commands for factor analysis References. Purpose of Factor Analysis.

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Perceptions of Colleges

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Overview of Logistics Regression and its SAS implementation

Overview of Logistics Regression and its SAS implementation.

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P-values for different alternatives

P-values for different alternatives. H a : p < p 0 . P-value = percentile of standard score of sample proportion. H a : p > p 0 . P-value = 1 - percentile of standard score of sample proportion.

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