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Independence is a fundamental notion in probability theory, as in statistics and the theory of stochastic processes.Two events are independent, statistically independent, or stochastically independent [1] if, informally speaking, the occurrence of one does not affect the probability of occurrence of the other or, equivalently, does not affect the odds.
Means of communication are often differentiated in models of communication: in terms of reaching and determining the target audience of a means of communication, whether individual communication, group communication and mass communication; in terms of the technical components in natural and technical means of communication;
Primary, alternate, contingency and emergency (PACE) is a methodology used to build a communication plan. [1] The method requires the author to determine the different stakeholders or parties that need to communicate and then determine, if possible, the best four, different, redundant forms of communication between each of those parties.
In casual use, the word "implies" loosely means suggests, rather than requires. However, in logic, the technical use of the word "implies" means "is a sufficient condition for." [3] That is the meaning intended by statisticians when they say causation is not certain.
In logic, two propositions and are mutually exclusive if it is not logically possible for them to be true at the same time; that is, () is a tautology. To say that more than two propositions are mutually exclusive, depending on the context, means either 1. "() () is a tautology" (it is not logically possible for more than one proposition to be true) or 2. "() is a tautology" (it is not ...
An event with probability 100% is perfectly unsurprising and yields no information. The less probable an event is, the more surprising it is and the more information it yields. If two independent events are measured separately, the total amount of information is the sum of the self-informations of the individual events.
The unique environmental need selecting for a communication system capable for displacement in humans or their direct ancestors is not identified, but hypotheses include Bickerton's theory of small groups finding large herbivore carcasses, and needing the assistance from other small groups of humans to defend against other dangerous scavengers ...
The F-test in ANOVA is an example of an omnibus test, which tests the overall significance of the model. A significant F test means that among the tested means, at least two of the means are significantly different, but this result doesn't specify exactly which means are different one from the other.