This preview has intentionally blurred sections. Sign up to view the full version.View Full Document
Unformatted text preview: - any outcome in one event is excluded from the other event Addition Rule- ) ( ) ( ) ( ) ( B A P B P A P B A P ∩-+ = ∪ Independence- if ) ( ) ( B A P A P ⊥ = then it is independent Multiplication Rule- ) ( ) ( ) ( A B P A P B A P ⊥ ⋅ = ∩ Random Variable- a variable that assumes numerical values based on the outcome • Continuous- it assumes values within a range of values on number line (no gaps or holes) • Discrete- has a finite number of values Probability Distribution- define a random variable and have all of its values have all its probabilities 1 ) ( ) ( ≤-= ≤ x X P x P • “OR” means ADD • “AND” means MULTIPLY Binomial Experiment 1. must be able to perform “n” times with same result 2. trials MUST be INDEPENDENT; probability of success on any trial is same 3. RV counts # successes...
View Full Document
- Fall '08
- Standard Deviation, Mean, Probability theory