Level of statistical significance

    • [PDF File]Redefine statistical significance - Princeton University

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      Keywords: Expected Loss, Statistical Significance, Sample Size, Power of the test 1. Introduction Hypothesis testing is an integral part of statistics from an introductory level to professional research in many fields of science. The level of significance is a key input into hypothesis testing.

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    • [PDF File]How To Run Statistical Tests in Excel

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      Significance from a Table Objectives: Define statistical inference. Describe the reasoning of tests of significance. Describe the parts of a significance test. State hypotheses. Define P-value and statistical significance. Conduct and interpret a significance test for the mean of a Normal population.

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    • [PDF File]Tests of Significance - University of West Georgia

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      significance thresholds α = 0.05 and α = 0.005, Fig. 2 shows the false positive rate as a function of power 1−β. In many studies, statistical power is low7. Figure 2 demonstrates that low statistical power and α = 0.05 combine to produce high false positive rates. For many, the …

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    • [PDF File]How to Choose the Level of Significance: A Pedagogical Note

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      6. Statistical Inference: Significance Tests Goal: Use statistical methods to check hypotheses such as “Mental health tends to be better at higher levels of socioeconomic status (SES)” (an effect) “For treating anorexia, cognitive behavioral and family therapies have same effect” (no effect)

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    • Hypothesis Testing - Significance levels and rejecting or ...

      ability for determining statistical significance was established, somewhat arbitrarily, by Sir Ronald Fisher when he developed his procedures for the analysis of variance. Fisher's (1925) statement in his book, Statistical Methods for Research Workers, seems to be the first specific mention of the p = .05 level as deter-mining statistical ...

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    • [PDF File]On the Origins of the .05 Level of Statistical Significance

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      How To Run Statistical Tests in Excel Microsoft Excel is your best tool for storing and manipulating data, calculating basic descriptive statistics such as means and standard deviations, and conducting simple mathematical operations on your numbers. It can also run the five basic Statistical Tests.

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