The degree to which an event is expected to occur under certain conditions, often represented numerically.
A quantitative measure of how likely a specific occurrence is, with values ranging from 0 to 1, indicating impossible to certain events.
An expression of the likelihood associated with an event, which can be high or low, reflecting the chances of that event happening.
Example:
キャンセル待ちで乗れる確率はどれくらいですか。
A branch of mathematics that studies the general principles of probability, exploring how likely events are to occur and providing a framework for understanding randomness and uncertainty.
A field that began with early contributions from mathematicians like Pascal, focusing on the analytical methods of statistics and error analysis, which are applied in various scientific disciplines.
A mathematical function that describes how the probabilities of a random variable are distributed across its possible values.
A representation of the likelihood of different outcomes occurring in a random experiment, illustrating the relationship between each outcome and its associated likelihood.
A comprehensive framework that details the chances of all possible results of a random event, often depicted graphically or in table form to analyze statistical behaviors.
A statistical measure indicating the likelihood of any form of precipitation, such as rain, snow, or hail, occurring in a specific area during a defined time period.
The probability expressed as a percentage that at least one millimeter of water from precipitation will fall in a particular location within a specified time frame.
An estimation of the occurrence of precipitation events, which helps to inform individuals about the risk of wet weather conditions in their locale.
The probability assigned to an event before any evidence or information is taken into account, reflecting the initial belief about the likelihood of that event occurring.
A statistical measure representing the likelihood of a specific outcome based on prior knowledge or assumptions, used as a foundation for further analysis when new data is introduced.
The initial estimate of the probability of an event, which is used as a reference point in Bayesian inference to update beliefs as new data becomes available.