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A very popular one is "Eşek sudan gelince" (When a donkey comes ashore from the sea) Ukrainian – коли рак на горі свисне ("koly rak no hori svysne"), "when the crawfish whistles on the mountain"; or a longer variant коли рак на горі свисне, а риба заспіває ( koly rak no hori svysne, a ryba ...
Imagine throwing a dart at a unit square (a square with an area of 1) so that the dart always hits an exact point in the square, in such a way that each point in the square is equally likely to be hit. Since the square has area 1, the probability that the dart will hit any particular subregion of the square is equal to the area of that subregion.
A representative guide for obtaining informed consent from people participating in social science or behavioural research, or of the potential risks of a medical procedure, suggests giving typical numerical chances of an adverse event when words of estimative probability first are used.
For example, it is likely that for 31.7% of the atomic mass values given on the list of elements by atomic mass, the true value lies outside of the stated range. If the width of the interval is doubled, then probably only 4.6% of the true values lie outside the doubled interval, and if the width is tripled, probably only 0.3% lie outside.
In other words, which group would be more susceptible depends on how misinformation is crafted to create alignment with people of that group’s beliefs.” — Dawn Holford, PhD
Things or people that go together well are complementary (i.e., they complete each other); complimentary describes an item given without charge (considered a 'gift'), usually in addition to a product or service that may have been purchased. It also describes praise given to someone or something.
Jumping to conclusions (officially the jumping conclusion bias, often abbreviated as JTC, and also referred to as the inference-observation confusion [1]) is a psychological term referring to a communication obstacle where one "judge[s] or decide[s] something without having all the facts; to reach unwarranted conclusions".
For an event X that occurs with very low probability of 0.0000001%, or once in one billion trials, in any single sample (see also almost never), considering 1,000,000,000 as a "truly large" number of independent samples gives the probability of occurrence of X equal to 1 − 0.999999999 1000000000 ≈ 0.63 = 63% and a number of independent ...