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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.
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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.
1 Using the relative frequency approach to probability if a country is selected at random what is the probability it will be in Europe?
1/7 or approximately .142 There are 7 continents and you are choosing only 1.
Why is relative frequency different to probability?
It is not! It is one measure of probability.
Difference between classical approach and relative approach of probability with example?
Classical approach has possible outcomes which are known with certainity ie sampling distribution is known. Relative approach is an approach in which probability values are based on historical interest.
How do you convert a beta probability density function to a beta frequency distribution?
probability density distribution
