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  1. more intuitive terms such as “using the tools of probability theory” (Hitchcock, 2021), “reflect the laws of probability” (Moss, 2018), and obey "the Kolmogorov axioms of probability" (Byrne, 2021) with all of these definitions ultimately referencing the formal definition of probability ℙ.

  2. Odds is the likelihood of a new case occurring rather than not occurring. It is the probability that an event will occur divided by the probability that the event will not occur. It differs from risk in that the denominator does not include the patients with the condition. In our example in Figure 1, the odds of revision is 80%, (4/9)/(5/9 ...

  3. May 16, 2019 · If I were going to write a statistics book, it would be very close to this. This is a readable textbook appropriate for an introductory statistics course in psychology. Examples given are succinct and easy to follow.

  4. Oct 13, 2023 · A p-value, or probability value, is a number describing how likely it is that your data would have occurred by random chance (i.e., that the null hypothesis is true). The level of statistical significance is often expressed as a p-value between 0 and 1.

  5. Oct 27, 2017 · The odds of an event represent the ratio of the (probability that the event will occur) / (probability that the event will not occur). This could be expressed as follows: Odds of event = Y / (1-Y) So, in this example, if the probability of the event occurring = 0.80, then the odds are 0.80 / (1-0.80) = 0.80/0.20 = 4 (i.e., 4 to 1). If a race ...

  6. Probability refers to the likelihood of an event occurring. It can be expressed as a number (0.5) or a percentage (50%). Statistical tests allow psychologists to work out the probability that their results could have occurred by chance, and in general psychologists use a probability level of 0.05.

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  8. Feb 15, 2021 · The pooled odds ratio (OR) and confidence interval (CI) were estimated by using 17 studies: OR=1.35 (95% CI: 1.14, 1.61). Similar pooled effects were obtained for females and males, separately. The high heterogeneity across studies was not explained by any of the design variables considered.

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