The likelihood of some event occurring. In mathematics, probability is the number of times that something is likely to occur out of a number of possible occurrences. Probability theory is an essential aspect of the mathematical foundations of insurance.----------[ Back
Probability means: 1. being probable, 2. something that is probable, 3. a ratio expressing the chances that a certain event will occur, and 4. a branch of mathematics studying chances of random events. To find the probability of rolling a 3 on a six-sided die, you roll the die 1,000,000 times. You roll a 3 166,549 times. You find the proportion of 3's by dividing: 166,549 / 1,000,000 = 0.166549. The probability of rolling a 3 on this particular die is about 1/6.
A number from 0 to 1 that indicates the likelihood that something (an event) will happen. The closer a probability is to 1, the more likely it is that an event will happen. An event with a probability of 0 is impossible. An event with a probability of 1 is a certainty.
distribution: The possible outcomes of an experiment along with their associated probabilities. Specific probability distributions, such as the normal, t, and F have been derived from sets of assumptions about how scores are generated and the way they are combined. When the assumptions are correct, the probability distribution may be used to determine the critical value for a significance test. In practice, the distribution is presumed applicable given the structure of the experiment and the assumptions are not specifically checked.
The chance that a prescribed event will occur, represented as a pure number p in the range 0 Â£[â‰¤] p Â£[â‰¤] 1. The probability of an impossible event is zero and that of an inevitable event is unity. Probability is estimated empirically by relative frequency, that is, the number of times the particular event occurs divided by the total count of all events in the class considered. See probability theory.
The subjective assignment of likelihood of future events; or the frequency of occurrence of an experimental or observations outcome. It refers to the uncertainty or partial knowledge associated with decision making.
A quantitative description of the possible likelihood of a particular event. Probability is conventionally expressed on a scale from 0 to 1, or 0% to 100%, with an unlikely event having a probability close to 0, and a very common event having a probability close to 1.
The ratio of the number of specific events to the number of all possible events (i.e., p = # specific / # specific + # other). Probabilities can range from zero (i.e., impossible) to one (i.e., every time). The probability of an event differs from the odds of an event in that the denominator for calculating odds is the non-events and the denominator for probability is the total of all events.
When an event can occur in a finite number of discrete outcomes, the probability of an event is the ratio of the number of ways in which the event can occur to the total number of possibilities, assuming that each of them is equally likely. Definitions: Q
Likelihood of an event occurring, normally calculated as a proportion of events from domain that resembles the one about which a decision is to be made. EX: If the proportion of restorations of a given type that fail is three of nine, the probability that similar restorations will fail is .333. Proportions can only take values between 0 and 1 (cannot be negative). Abbreviated p. [See also conditional probability, proportion
a number between zero and one that we assign to event s of which we are uncertain, with zero meaning absolute certainty of the falsehood of some statement, and one is certainty of its truth, and there are varying degrees of truth and belief in between
The chance of obtaining a particular result, e.g. if a 10 sided die is thrown it will be 10%. For complex problems there can be many outcomes, some of which do not seem to be ever realised, even if they appear to be equally probable.
Defined depending on philosophical perspective: 1. The frequency with which we obtain samples within a specified range or for a specified category (e.g. the probability that an average individual with a particular mean dose will develop an illness). 2. Degree of belief regarding the likelihood of a particular range or category.
The likelihood that something will happen. For example, a probability of less than .05 indicates that the probability of something occurring by chance alone is less than 5 in 100, or 5 percent. This level of probability is usually taken as the level of biologic significance, so a higher incidence may be considered meaningful. The abbreviation for probability is P.
A branch of mathematics that measures the likelihood that an event will occur. Probabilities are expressed as numbers between 0 and 1. The probability of an impossible event is 0, while an event that is certain to occur has a probability of 1.
The likeliness or chance of an event occurring. Measures of probability range from 0 (no likelihood of occurrence) to 1 (certainty of occurrence). On any single toss of a coin, the probability of a head is .5.
Probability is a branch of mathematics having to do with the possible outcomes of given events and their relative likelihoods and distributions. The word "probability" is used to mean the chance that a particular event or set of events will occur. It usually is expressed on a linear scale from 0 (impossibility) to 1 (certainty) or as a percentage between 0 and 100%. The analysis of events governed by probability is called Statistics.
A number between 0 and 1 which represents how likely an event is to occur. Events with probability equal to 0 never occur. Events with probability equal to 1 always occur. In data analysis, probability is normally defined in terms of the relative frequency of occurrence of an event which can be repeated many times. For example, if you repeatedly sample temperatures from a process and get values below 150 degrees half the time, then the "probability" of getting a reading below 150 degrees is equal to 0.5 or 50%. In daily life, we sometimes use probability in a different sense, i.e., to express our degree of belief about the likelihood of an event which can not be repeated indefinitely under identical conditions. For example, you might say that the chance of getting a raise this year is "one in a million". Such "subjective" probabilities are used in statistical decision theory.
A probability provides a quantitative description of the likely occurrence of a particular event. Probability is conventionally expressed on a scale from 0 to 1; a rare event has a probability close to 0, a very common event has a probability close to 1. (From the Department of Statistics of the University of Glasgow, http://www.stats.gla.ac.uk/)
In the MOF risk model, the likelihood that the condition will occur. (Note that this is not the likelihood of the consequence. It is assumed that if the condition happens, the consequence is a guaranteed result.) Probability is measured on a numeric scale, and it is never zero (because a risk that can't happen isn't something to manage) and never 100 percent (because that condition would be guaranteed: a known problem, not a risk).
The chance of occurrence or recurrence of a specified event within a unit of time, commonly expressed in 3 ways. Thus a 10-year flood has a chance of 0.1 per year and is also called a 10%-chance flood.
The likelihood of something. For example, if the probability that it is going to rain this evening is 50%, then the likelihood that it will rain this evening is 50-50. The probability of an event can be calculated in specific ways; an inferential test is one that calculates the probability that the null hypothesis is 'true'. Usually probability makes an 'all else being equal' assumption, i.e. that things that might influence the outcome of an event that we cannot measure or account for (or even know exists) has, in fact, no influence at all
is a number between 0 (never occur) and 1 (always occur) which represents how likely an event is to occur. Probability is normally defined in terms of the relative frequency of occurrence of an event which can be repeated many times. [6
A number between zero and one that describes the likelihood that a given event will take place. For example, the probability of throwing a six with a single throw of one die is 1/6, and the probability of throwing two sixes with a single throw of two dice is 1/36.
a branch of mathematics that measures the probability range for an event to occur. Probabilities are expressed as numbers between zero and one. The probability of an impossible event is zero, while an event that is certain to occur has a probability of one.
The measure of how likely it is for an event to occur. The probability of an event is always a number between zero and 100%. The meaning (interpretation) of probability is the subject of theories of probability. However, any rule for assigning probabilities to events has to satisfy the axioms of probability.
The likelihood of the occurrence of any particular form of an event, estimated as the ratio of the number of ways or times that the event may occur in that form to the total number of ways that it could occur.
the likelihood or degree of certainty of a particular occurrence taking place during a specified time period. Independent probabilities relate to events which do not depend on other events which have occurred previously. Dependent probabilities are the probabilities of occurrence once previous specified events have occurred.
The likelihood or relative frequency of an event expressed in a number between zero and one. The throw of a die is an example. The probability of throwing five is found by dividing the number of faces that have a five (1) by the total number of faces (6). That is a probability of one-sixth or one divided by six, which is .17. See also Degree of Risk, Law of Large Numbers, and Odds.
The ratio (between zero and one) of the number of ways in which a particular outcome can occur ( successful outcomes) to the total number of equally likely possible outcomes in a given situation (Lesson 4.7).
Probability is the extent to which something is likely to happen or be the caseOxford Dictionary of English, Second Edition. Probability theory is used extensively in areas such as statistics, mathematics, science, philosophy to draw conclusions about the likelihood of potential events and the underlying mechanics of complex systems.
The degree to which a proposition approaches certainty. VT believed that Christianity was certain, not merely probable, and that for an apologist to claim mere probability is to deny the clarity of Gods revelation.
( Stat). The frequency expressed as a proportion or percentage of the total frequency, with which in a long series of trials, strictly comparable circumstances will produce a specified value of a variable rather than any other conceivable value. ( BCFT)