Statistical significance and confidence level
[DOC File]SECTION 6
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A 95% confidence level is equivalent to α= .05. A 90% confidence level is equivalent to α= .10. Section 6.3. Use and Abuse of Tests: Choosing a Level of Significance: If we want to make a decision based on our test, we choose a level of significance in advance. We do not have to do this, however, if we are only interested in describing the ...
[DOC File]AP Stats Chapter 11 Notes: Significance Tests
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Statistical Significance: If the p-value is as small as or smaller than alpha, we say that the data are statistically significant at level . ***Significant in the statistical sense foes not mean “important.” It means simply not likely to happen just by chance. And the significance level makes not likely more exact.
[DOC File]Rossman/Chance
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Understanding Confidence Level: ... This example illustrates the distinction between statistical significance and practical significance. Especially with large sample sizes, a small difference that is of little practical importance can still be statistically significant (unlikely to …
[DOC File]Section 1
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Define significance level. Define statistical significance (statistical significance at level α). Construction Objectives: Students will be able to: Explain the difference between a one-sided hypothesis and a two-sided hypothesis. Identify the three conditions that need to be present before doing a significance test for a mean.
[DOC File]Chapters 15 & 16 Hypothesis Testing and Statistical Inference
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3. Statistical significance – if we get a p-value that is smaller than the α, then we say that the data are significant at the level of α. Ex: so in our case above we find that the results above have a statistical significance at the 0.05 level. In fact, since our p-value obtained is even smaller than 0.05 we find it …
[DOC File]Statistics Cheat Sheet
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Significance level α : if α = .05, then happens no more than 5% of time. "Results were significant (P < .01 )" Level α 2-sided test rejects Ho: μ = μo when uo falls outside a level 1 – α confidence int. Complicating factors: not complete SRS from population, multistage & many factor designs, outliers, non-normal distribution, σ unknown.
Dr Alex Buckley (University of Strathclyde)
When comparing two NSS scores, the statistical significance of the difference between them can be evaluated using the level of overlap in their confidence intervals. If the 95% confidence intervals don’t overlap at all, then we can be 99% confident that the difference is statistically significant. 99% is a relatively strict level of confidence
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