0
What else can I help you with?
What is independent events in probability concepts?
The occurrence of one event does not affect the occurrence of the other event. Take for example tossing a coin. The first toss has no affect on the outcome of the second toss, so these events are independent.
Can two events be mutually exclusive and independent simultaneously?
No, two events cannot be mutually exclusive and independent simultaneously. Mutually exclusive events cannot occur at the same time, meaning the occurrence of one event excludes the possibility of the other. In contrast, independent events are defined such that the occurrence of one event does not affect the probability of the other occurring. Therefore, if two events are mutually exclusive, the occurrence of one event implies that the other cannot occur, which contradicts the definition of independence.
When the occurrence of one event does not influence the occurrence of the other?
They are independent events.
What does dependent probability mean?
Dependent probability is the probability of an event which changes according to the outcome of some other event.
What events are such that the occurrence of one does not change the probability of other events?
Independent events.
What is independent events in probability concepts?
The occurrence of one event does not affect the occurrence of the other event. Take for example tossing a coin. The first toss has no affect on the outcome of the second toss, so these events are independent.
What are two events called when the occurrence of one event does not affect the occurrence of the other event?
Independent
The likelihood of an event occurring?
The likelihood of an event occurring is known as the probability of occurrence. This can be calculated based on previous patterns and other factors.
What is events for which the outcome of one event does not affect the probability of the other?
Independent events.
Can two events be mutually exclusive and independent simultaneously?
No, two events cannot be mutually exclusive and independent simultaneously. Mutually exclusive events cannot occur at the same time, meaning the occurrence of one event excludes the possibility of the other. In contrast, independent events are defined such that the occurrence of one event does not affect the probability of the other occurring. Therefore, if two events are mutually exclusive, the occurrence of one event implies that the other cannot occur, which contradicts the definition of independence.
When the occurrence of one event does not influence the occurrence of the other?
They are independent events.
What does dependent probability mean?
Dependent probability is the probability of an event which changes according to the outcome of some other event.
What events are such that the occurrence of one does not change the probability of other events?
Independent events.
What is independent and dependent when dealing with probability?
The event whose occurrence is not relying on other the other event is independent e.g the occurance of Head in a coin throw is not dependent on other side, the Tail, so it is an independent event. When two events are depending on each other in order to gain a required result, the events are said to be dependant.
What differentiates a probability from a probability distribution?
A probability indicates the likely-hood that a particular event occurs out of a set number of observations or measurements. A probability distribution allows relative comparison of probability of an event with any other possible event.
When two events are independent the probability that one event occurs in no way affects the probability of the other event occurring true or false?
It is true.
You toss three coins What is the probability of the event 3 Heads appear?
Since each event is independent (heads in one coin does not affect the probability of the other two coin flips), the multiplication rule applies: 1/2 x 1/2 x 1/2 = 1/8 or 0.125. So we can say the probability is 12.5%.
