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In this video we are going to
discuss empirical probability

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The difference between the classical and
empirical probability is that the classical

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probability assumes that certain outcomes are equally likely. That means each
and every outcome is equally likely that was considered in our respective

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classical probability. You can watch the
previous video where you have discussed this

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Such as the outcomes when it died, is rolled while empirical
probability relies on actual experience to determine the likelihood

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of outcomes. So, in empirical probability one might
actually roll a die, say 6,000 times observe the various

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frequencies and use these frequencies to
determine the probability of an outcome

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So here a die will be rolled for 6,000 number
of times, might be also 10,000 number of times

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And for each and every phase value that is 1 2 3 4 5 6 it will go on counting the number of frequencies and from there it will try to calculate
the frequency or the probability of occurrence of a certain event So just consider this one drive 41 is the frequency fly 6 is the frequency and

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train or bus, 3 is the frequency.
So in total, the value is 50

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For example, the probability of selecting
a person who is driving is 41 by 50

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So in this way, because here we are having
this drive, drive is having the frequency, 41

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the sum of all frequencies is 50. So, the
probability that person will drive will be 41 by 50

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So in this way, the empirical probability
can be defined in this example

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So formula for empirical probability. Given a frequency
distribution, the probability of an event being in a given class is

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so that is the probability of the event E is equal
to frequency of the class by total frequencies

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in the distribution. So, that is small f by small n. This probability
is called empirical probability and is based on the observation

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I think you are getting this issue. What is empirical probability
and also we have explained this concept with some examples

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Thanks for watching this video