Discrete Random Variable
2. Probability of Taking A Value
Continuous Random Variable
Probability Density Function
Cumulative Distribution Function
Probability of Between a and b
2. a<=b
Probability of Greater Than a
1- CDF(a)
Inverse CDF
From Probability
Mutually Exclusive Events
Sum of Individual Probabilities
Independent Events
Multiplication of Individual Probabilities
Use of Probability Matrix
More Than One Variable
Conditional Probability
Non- Independent Events
Bayes’ Theorem
2. Change in Probability Due To Occurring of an Event