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A statistical effect is considered significant when the calculated probability value is below the alpha level.

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SUPPORTED
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Is it true that a statistical effect is considered significant when the calculated probability value is below the alpha level?

Yes. In statistical hypothesis testing, an effect is considered statistically significant when the calculated p-value is less than the pre-specified significance level (alpha).

Verdict: SUPPORTED · 3 sources for, 0 against · Last checked

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Evidence for · 3
Wikipedia: Statistical significance
Reference article covering this claim directly
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Wikipedia: Statistical significance. (n.d.). Wikipedia. https://en.wikipedia.org/wiki/Statistical_significance

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LibreTexts: LibreTexts: 11.02: Significance Testing
Explains that an effect is statistically significant when the probability value is below the alpha level.
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LibreTexts: LibreTexts: 11.02%3A Significance Testing. (n.d.). LibreTexts. https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Introductory_Statistics_(Lane)/11%3A_Logic_of_Hypothesis_Testing/11.02%3A_Significance_Testing

OpenStax: OpenStax Introductory Business Statistics: 13.7 How to Use Microsoft Excel® for Regression Analysis
Notes a p-value is less than the alpha level of 0.05 for significance.
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OpenStax: OpenStax Introductory Business Statistics: 13.7 How to Use Microsoft Excel® for Regression Analysis. (n.d.). OpenStax. https://openstax.org/books/introductory-business-statistics/pages/c18ec20c-62ec-4bda-8dc1-e86fa594696c@

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