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Which approach to probability assumes that the events are equally likely?
Wiki User
∙ 11y ago
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
Wiki User
∙ 11y ago
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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.
What is the probability in a sample space of 98 equally likely events?
3/4
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 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 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 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.
What is the probability of Two events that are equally likely to occur?
The probability of two events that are equally likely to occur is 0.5 or 50%, assuming there are only two possible outcomes. This means that each event has an equal chance of happening.
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.
Frequency approach for probability?
Well, that's not much of a question. Perhaps you are asking: What is the frequency interpretation of probability? This is called the classical interpretation of probability. Given n independent and identical trials with m occurrences of of a particular outcome, then the probability of this outcome, is equal to the limit of m/n as n goes to infinity. If you are asking: How can probabilities be estimated given data, based on frequency approach? A table is constructed, with intervals, and the number of events in each interval is calculated. The number of events divided by the total number of data is the relative frequency and an estimate of probability for the particular interval.
If the probability of two events occurring together is 0 the events are called .?
Independent events with a probability of zero
