Introduction to Conditional Probability

Introduction:   

             Suppose the two events are not independent, that is the occurrence of one depends on the occurrence of other, then how do we compute This can be explained by conditional probability.

     Baye's theorem is named after the British mathematician Thomas Bayes who published it in a research paper in 1763. It gives one of the important applications of the conditional probabilities by using the additional information supplied by the experiment or the past records.
Conditional Probability:
     Let A and B be any two events associated with a random experiment. The probability of occurrence of event A when the event B has already occurred is called the conditional probability of A when B is given and is denoted as P(A/B). 
Solving Coin problems:
In algebra we deal with the word problems involve pennies, nickels , dimes and half quarters. To solve such type of problems we need prepare tables. 

Probability using Z score:
   By using Z-scores, normal distribution is standardized. We can find probability for standard normal distribution using Z-scores. Using random variable, mean and standard deviation, Z-scores are calculated.
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