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Probability Density Function
The probability density function of a continuous random variable is represented by its probability density function (or density function). It is a function fX(x) whose graph satisfies the following conditions:
Probability Mass Function
Variance of a Random Variable
Expected Value of a Random Variable
Bayes' Rule
If the set of events A1 , A2 , ....., An constitutes a partition of the sample space S, and event B is a subset of S, then
B = B Ç S
Conditional Probability
Simple Probability
Operations with Probabilities
Permutations and Combinations
Fundamental Principle of Counting
The fundamental principle of counting deals with the counting of sample points in a sample space. Also known as the multiplication rule for choices, it is stated as follows:
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