hypothesis tested significant correlation

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Stats: Correlation
Hypothesis Testing. The claim we will be testing is "There is significant linear correlation". The Greek letter for r is rho, so the parameter used for linear .
http://people.richland.edu/james/lecture/m170/ch11-cor.html

Steps in hypothesis testing for correlation
Steps in hypothesis testing for correlation. We will formally go through the steps described in the previous chapter to test the significance of a correlation using .
http://www.une.edu.au/WebStat/unit_materials/c6_common_statistical_tests/steps_hypoth_correlation.html

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Hypothesis testing - Steps
Steps to do a two-tailed test of the hypothesis that ?1 = 0: 1. Set up the hypotheses . The coefficient of correlation r measures the linear association between two .
http://www.public.iastate.edu/~alicia/stat328/Regression%20inference-part2.pdf

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Statistics: Hypothesis Testing and Correlation - Yahoo! Voices ...
Feb 2, 2007 . This article will concentrate on hypothesis testing and correlation. . 4) Compare the P-value to an acceptable significance value (the level of .
http://voices.yahoo.com/statistics-hypothesis-testing-correlation-180759.html

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Bias in Estimation and Hypothesis Testing of Correlation
probabilities of significance tests of zero correlation based on the Student t statistic and . Significance tests of the hypothesis of zero correlation employed the .
http://www.uv.es/psicologica/articulos1.03/9.ZUMBO.pdf

Statistical hypothesis testing - Wikipedia, the free encyclopedia
For Bayesian hypothesis testing, see Bayesian inference. . The phrase "test of significance" was coined by Ronald Fisher: "Critical tests of this . It can be used to decide whether left-handedness is correlated with libertarian politics (or not).
http://en.wikipedia.org/wiki/Statistical_hypothesis_testing

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Statistical significance - Wikipedia, the free encyclopedia
In statistics, a result is called "statistically significant" if it is unlikely to have occurred by chance. . An alternative (but nevertheless related) statistical hypothesis testing framework is the Neyman–Pearson . Correlation and regression analysis .
http://en.wikipedia.org/wiki/Statistical_significance

Unit 31 A Hypothesis Test about Correlation and Slope in a Simple ...
To perform a hypothesis test concerning the slope of a least squares line . statistically significant linear relationship (i.e., correlation) are actually the same test .
http://www.lycoming.edu/~sprgene/M123/Text/UNIT_31.pdf

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Web Page for Chapter 15. MULTIPLE CHOICE QUESTIONS 1. Why ...
Does the hypothesis stated require a one-tailed or a two-tailed test of significance ? State the null hypothesis being tested. Which correlation test would be used?
http://www.uk.sagepub.com/burns/Chap%2015%20Web%20Site.doc

MULTIVARIATE ANALYSIS
Thus the tested hypothesis refers to all the correlations in an asymmetric p x q matrix . Therefore if the multivariate test yields significant results, you will typically .
http://www.psych.cornell.edu/darlington/manova.htm

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Neglect of Multiplicity in Hypothesis Testing of Correlation Matrices ...
Neglect of Multiplicity in Hypothesis Testing of . I; correlations greater than .12 are significant at the .05 level, under . Hypothesized model without correlated .
http://www.mcp-conference.org/2007/presentations/Holland_Burt.pdf

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  • jcorn5/1/2009

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A GUIDE TO MULTIPLE HYPOTHESIS TESTING IN GENOME-WIDE ...
result in a significant correlation. While such a permutation immediately eliminates the need for multiple hypothesis testing, the significance can be smaller is .
http://kmplot.com/multipletesting/multiple_testing_110726.pdf