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I am very new to experimental setup and have recently started to learn about designing experiments and analyzing the results. In the papers that I read there are notations that I am unfamiliar with. I am particularly talking about t(), p, ds, dz, F(,), and ƞnotations. In the following I provide some examples of how these notation been used:

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I highly appreciate if someone can give me some hints on what each notation means or direct me to some resources that I learn from.

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  • $\begingroup$ Can you give a citation for the quote? $\endgroup$
    – kjetil b halvorsen ♦
    Commented Aug 19, 2022 at 12:01
  • $\begingroup$ @kjetilbhalvorsen Silva, R. R., Garcia-Marques, T., & Reber, R. (2017). The informative value of type of repetition: Perceptual and conceptual fluency influences on judgments of truth. Consciousness and Cognition, 51, 53-67. $\endgroup$
    – amiref
    Commented Aug 19, 2022 at 12:04
  • $\begingroup$ Please add new info as an edit to the post. Comments are easily overseen, and can be deleted. $\endgroup$
    – kjetil b halvorsen ♦
    Commented Aug 19, 2022 at 12:06

1 Answer 1

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  • $t$ is a statistic from a Student t-test
  • $F$ is a statistic from an F-test used in analysis of variance
  • $p$ is a p-value suggesting how likely it is that the result observed or a result as or more extreme occurs under the null hypothesis
  • $d$ is probably Cohen's d, an estimate of effect size
  • $\eta^2$ is probably another statistic eta-squared related to effect size, estimating a ratio of variance explained
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