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When the n events of a given aleatory experiment are equally likely, the theoretical

probability of any one of the n events is: P(E) = 1/n

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What does equally unlikely mean in probability?

Two events are equally unlikely if the probability that they do not happen is the same for each event. And, since the probability of an event happening and not happening must add to 1, equally unlikely events are also equally likely,


When two events can occur with the same probability is called?

Equally likely events.


When two events can occur with the same probability what is it?

Nothing more significant than equally likely events.


What is the probability in a sample space of 98 equally likely events?

3/4


What does equally likely mean in math term?

The two events have the same probability of happening.


What are equally likely event?

Two events that have the same chance of happening. For example, if I flip a coin the event of obtaining a 'head' is equally as likely as the event of obtaining a 'tail'. But equally likely does not mean 0.5 probability. It's possible that it's equally likely that someone in Ontario, Canada will die from being stung by a wasp as from being electrocuted in their kitchen at home. Neither event is very likely but the two events could be equally likely.


What is the probability of Two events that are equally likely to occur?

Without more information all you can say is that they it is some non-negative number less than or equal to 0.5.


What is the difference between relative frequency approximation of probability and the classical approach to probability?

Relative frequency approximation is conducting experiments and counting the number of times the event occurs divided by the total number of events. The classical approach is determine the number of ways the event can occur divided by the total number of events.


What approach to probability is based on a persons degree of belief and hunches that a particular event will happen?

Subjective If you assume particular events will happen with a certain prior distribution, that is Bayesian probability.


A sample space consists of 10 separate events that are equally. what is the probability of each?

I believe you mean to say, equally probable. By stating they are separate events, I assume that they are independent and that there is a single unique outcome to each event that can be identified. Ok, then the chance of each event or outcome is 1/10.


Is there just one way of computing the probability of dependent events?

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.


What is the formula in finding the probability of an event?

If you can enumerate the outcome space into equally likely events, then it is the number of outcomes that are favourable (in which the event occurs) divided by the total number of outcomes.

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