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To summarize, the probability that an event happens is the number of outcomes that qualify as that event (i.e. the number of ways the event could happen) compared to the total number of outcomes (i.e. how many things are possible).
- Chapter 12
Introduction to Statistics for Psychology. 12 Chapter 12:...
- Measures of Dispersion
Figure 1. Examples of 2 normal (symmetrical, unimodal)...
- Glossary
odds ratio: how likely will an event/outcome occur: law of...
- Linear Regression
This definition brings us to one of the primary purposes of...
- Chapter 12
definitions of probabilistic perception that they term “strong” and “weak” probabilistic perception, and argue that the empirical evidence only supports weak but not strong probabilistic perception.
An odds or a probability is often invoked in the context of the “success” of an “event”. Let’s call the event X and define success as X = 1. A classic example is basketball free throws. Success in this case is straightforward: scoring. via GIPHY. You can also conceive X = 1 more generally such as getting a job, getting into a car accident, etc.
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.
May 16, 2019 · Introduction to Statistics in the Psychological Sciences provides an accessible introduction to the fundamentals of statistics, and hypothesis testing as need for psychology students. The textbook introduces the fundamentals of statistics, an introduction to hypothesis testing, and t Tests.
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 ...
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May 22, 2023 · The odds ratio (OR) is a measure of how strongly an event is associated with exposure. The odds ratio is a ratio of two sets of odds: the odds of the event occurring in an exposed group versus the odds of the event occurring in a non-exposed group.