An Easy Introduction to Statistical Significance (With Examples)
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How Do You Test For Statistical significance?What Is A Significance level?Problems with Relying on Statistical SignificanceOther Types of Significance in ResearchOther Interesting ArticlesThe significance level, or alpha (α), is a value that the researcher sets in advance as the threshold for statistical significance. It is the maximum risk of making a false positive conclusion (Type I error) that you are willing to accept. In a hypothesis test, the pvalue is compared to the significance level to decide whether to reject the null hy...See more on scribbr.comEstimated Reading Time: 9 mins The significance level, or alpha (α), is a value that the researcher sets in advance as the threshold for statistical significance. It is the maximum risk of making a false positive conclusion (Type I error) that you are willing to accept. In a hypothesis test, the pvalue is compared to the significance level to decide whether to reject the null hy...
The significance level, or alpha (α), is a value that the researcher sets in advance as the threshold for statistical significance. It is the maximum risk of making a false positive conclusion (Type I error) that you are willing to accept. In a hypothesis test, the pvalue is compared to the significance level to decide whether to reject the null hy...
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