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We do not intend the term "unlikely" to imply an event will not happen. We use "probably" and "likely" to indicate there is a greater than even chance. We use words such as "we cannot dismiss", "we cannot rule out", and "we cannot discount" to reflect an unlikely—or even remote—event whose consequences are such it warrants mentioning.
Unlikely to occur, but possible The failure mode may then be charted on a criticality matrix using severity code as one axis and probability level code as the other. For quantitative assessment, modal criticality number C m {\displaystyle C_{m}} is calculated for each failure mode of each item, and item criticality number C r {\displaystyle C ...
In probability theory, an event is a set of outcomes of an experiment (a subset of the sample space) to which a probability is assigned. [1] A single outcome may be an element of many different events, [2] and different events in an experiment are usually not equally likely, since they may include very different groups of outcomes. [3]
For example, someone in poor health is unlikely to have a job as manual laborer, so if a study is conducted on manual laborers, the health of the general population will likely be overestimated. Berkson's fallacy , when the study population is selected from a hospital and so is less healthy than the general population.
One of the best-known examples of Simpson's paradox comes from a study of gender bias among graduate school admissions to University of California, Berkeley.The admission figures for the fall of 1973 showed that men applying were more likely than women to be admitted, and the difference was so large that it was unlikely to be due to chance.
It's unlikely, but here's what to watch out for. Other deposit accounts to save and grow your money. A savings account can offer flexible access to your money, but it isn’t the only safe place ...
Melissa liked to reinvent herself — through hairstyles — and careers. Most recently, the 27-year-old had been working as an EMT. Gus Lamesch: Melissa kind of fell into the line of work.
The law of truly large numbers (a statistical adage), attributed to Persi Diaconis and Frederick Mosteller, states that with a large enough number of independent samples, any highly implausible (i.e. unlikely in any single sample, but with constant probability strictly greater than 0 in any sample) result is likely to be observed. [1]
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