Reverse conditional probabilities

Compute independence

Generate random events

Calculate sample space size

At least one component fails

All components fail

All components work

Reliability is independent of components

Probability becomes negative

Trends reverse when groups are combined

Independent events become dependent

Conditioning increases probability

For disjoint A, B: P(A ∪ B) = P(A) + P(B)

P(S) = 1

P(A) ≥ 0

P(A ∪ B) = P(A) + P(B) − P(A ∩ B)

Independent

Complementary

Mutually exclusive

Conditional

 Memoryless only for continuous distributions

 is constant for all 

 for

 for

 for