yes
Two events are said to be independent if the outcome of one event does not affect the outcome of the other. Their probabilities are independent probabilities. If the events are not independent then they are dependent.
Dependent.
dependent event
No, there isn't just one way of computing the probability of dependent events. One common method is to use the formula ( P(A \cap B) = P(A) \times P(B|A) ), where ( P(B|A) ) is the conditional probability of event B given that event A has occurred. Another approach involves constructing a probability tree or using joint probability tables, especially when dealing with multiple dependent events. The choice of method often depends on the context and the complexity of the events involved.
Yes. Independent events can exist in reality. Dependent events means that one event has had an effect on the other. For instance, if we look at the probability of someone going to the shops, and the probability of them buying an apple, the latter is clearly dependent on the former. Independent events are simply events that don't have this connection. The probability of one does not influence or predict the probability of the other. For instance, if I studied the probability of you going to see a film on a particular day, and the probability of someone in China getting a hole in one in golf, these are very clearly independent events.
Dependent events.
Two events are said to be independent if the outcome of one event does not affect the outcome of the other. Their probabilities are independent probabilities. If the events are not independent then they are dependent.
A dependent event is one that relies on something else to happen. For instance with a mouse trap the trap closing "depends" on the trigger being activated.
Dependent.
dependent event
Dependent event :)
No, there isn't just one way of computing the probability of dependent events. One common method is to use the formula ( P(A \cap B) = P(A) \times P(B|A) ), where ( P(B|A) ) is the conditional probability of event B given that event A has occurred. Another approach involves constructing a probability tree or using joint probability tables, especially when dealing with multiple dependent events. The choice of method often depends on the context and the complexity of the events involved.
No, if two events are mutually exclusive, they cannot both occur. If one occurs, it means the second can not occur.
These are independent events; neither one depends on the results of the other.
Yes. Independent events can exist in reality. Dependent events means that one event has had an effect on the other. For instance, if we look at the probability of someone going to the shops, and the probability of them buying an apple, the latter is clearly dependent on the former. Independent events are simply events that don't have this connection. The probability of one does not influence or predict the probability of the other. For instance, if I studied the probability of you going to see a film on a particular day, and the probability of someone in China getting a hole in one in golf, these are very clearly independent events.
(29/78)*(28/77)*(27/76)*(26/75)*(25/74) = .0056252425 two events are dependent if the outcome of one event affects the probability of the other events. The probability that dependent events A and B occur together is P(A and B) = P(A) * P(B given A)
No one on a national or international level has won all ten events in one given decathlon.