Theory size p
WebbTo do so, we perform a t-test for difference of the means and achieve statistical significance (p-value = 0.04). I was told, that this approach is wrong and one cannot infer from the p-value derived from the test of such a small sample size. I do not understand why. I know, that if the sample size is so small:
Theory size p
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Webb9 dec. 2024 · X-bar is the arithmetic mean of the observed values, μ 0 is a hypothetical or expected mean to which X is compared, and n is the sample size. The result of a distance function will often be expressed in a standardized form – the number of standard deviations between the observed value and the expected value.. The p-value calculation … Webb22 dec. 2024 · Effect sizes can be categorized into small, medium, or large according to Cohen’s criteria. Cohen’s criteria for small, medium, and large effects differ based on the effect size measurement used. Cohen’s d can take on any number between 0 and infinity, while Pearson’s r ranges between -1 and 1.
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