# Solved Problems On Bayes Theorem This very simple example helps us understand the Bayes rule for an uncomplicated case.This theorem can be extended to many cases which are more complicated.Or was it a spontaneous breakage caused by a fabric defect?

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The most common result is that the window will break.

If your neighbor later asks if you know anything about the incident, you can confidently inform him that his window was broken you threw a rock at it earlier. But what if it wasn’t you who broke the window and, in fact, you have no idea what broke it? Was there a large temperature difference between the center and the periphery of the glass which caused a spontaneous breakage?

Let us understand this theorem with the help of a simple example. There are two shapes of chocolate – round and flat. We would like to find out the probability of getting a round chocolate given that the we have already got a round chocolate out.

This can be solved by using the Bayes’ theorem in the following way: P(1) = Probability of getting a round chocolate at the first pick = 7/15 P(2) = Probability of getting a round chocolate at second pick = 6/14 P(1 and 2) = ½*(6/14) P(2/1) = P(1 and 2)/P(1) = 0.214/0.4667=0.4585So the probability of getting a round chocolate on the second picking given that the first picking yielded a round chocolate is 45.85%.

There is some light in the room but it could be because of the sunlight (as it is late evening).

So, you assume a probability that the light bulb is on, say p(i).

Bayesian inference is an extremely powerful set of tools for modeling any random variable, such as the value of a regression parameter, a demographic statistic, a business KPI, or the part of speech of a word.

We provide our understanding of a problem and some data, and in return get a quantitative measure of how certain we are of a particular fact.

Union of Events – The union of two or more events is basically the combined set of the two or more events in the sample space.

For example, the union of getting a king or hearts in a deck of cards would include 16 cards (13 hearts and 3 kings).

## Comments Solved Problems On Bayes Theorem

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