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Dependent probability is the probability of an event which changes according to the outcome of some other event.

Q: What does dependent probability mean?

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Yes, it is possible for two dependent events to have the same probability of occurring. The probability of an event is dependent on the outcomes of other events, and it is influenced by the relationship between these events. So, it is conceivable for two dependent events to have equal probabilities.

1.The possibility of an obligation to pay certain sums dependent on future events. 2.defined obligation by a company that must be met,but the probability of payments is minimal.

An independent probability is a probability that is not based on any other event.An example of an independent probability is a coin toss. Each toss is independent, i.e. not related to, any prior coin toss.An example of a dependent probability is the probability of drawing a second Ace from a deck of cards. The probability of the second Ace is dependent on whether or not a first Ace was drawn or not. (You can generalize this to any two cards because the sample space for the first card is 52, while the sample space for the second card is 51.)

dependent event

Read the introduction to probability and probability measures at StatLect.com

Related questions

It is dependent.

Yes, it is possible for two dependent events to have the same probability of occurring. The probability of an event is dependent on the outcomes of other events, and it is influenced by the relationship between these events. So, it is conceivable for two dependent events to have equal probabilities.

A dependent probability.

What is the difference between dependant and independent events in terms of probability

dependent mean dependent othewise not dependent

Dependent events.

Two events are dependent if the outcome or occurrence of the first affects the outcome or occurrence of the second so that the probability is changed.

1.The possibility of an obligation to pay certain sums dependent on future events. 2.defined obligation by a company that must be met,but the probability of payments is minimal.

An independent probability is a probability that is not based on any other event.An example of an independent probability is a coin toss. Each toss is independent, i.e. not related to, any prior coin toss.An example of a dependent probability is the probability of drawing a second Ace from a deck of cards. The probability of the second Ace is dependent on whether or not a first Ace was drawn or not. (You can generalize this to any two cards because the sample space for the first card is 52, while the sample space for the second card is 51.)

dependent event

They are independent, because the probability of the first event does not affect the probability of the second event.

From a probability perspective fair means equal probability.