An assumption is a belief or statement taken for granted without proof, often used as a starting point for reasoning or arguments. In contrast, probability quantifies the likelihood of an event occurring, based on statistical analysis or empirical evidence. While assumptions can be subjective and vary between individuals, probabilities provide a more objective measure grounded in data. Essentially, assumptions may lead to conclusions, while probabilities offer a framework for understanding uncertainty.
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The difference between "at least" and "at most" is not restricted to probability. The difference is simply one between the precise meaning of the phrases in every day English language.
None. The full name is the Probability Distribution Function (pdf).
Proportion is the probability of a selected sample. probability is the true probability of all cases. If this is not what you are looking for then please specify.
They are the same. The full name is the Probability Distribution Function (pdf).
the difference is just that non-probability sampling does not involve random selection, but probability sampling does.