Topic 2 (Part 2) Flashcards
Probability
is the science determining how likely an event occur
Probability
any game of chance that led to
the early development of
probability theory
Gambling
Branches of Probability
- Weather Forecasting
- Business
- Politics
- Scientific Research
two or more events that have no common outcomes are said to cannot occur simultaneously
Mutually Exclusive
Applies to union of events
If A and B are two events, then
π π΄ βͺ π΅ = π π΄ + π π΅ β π(π΄ β© π΅)
Additive Rule
If A and B are mutually exclusive, then
π π΄ βͺ π΅ = π (π΄ ) + π (π΅)
Rule
For three events A, B, and C,
π (π΄ βͺ π΅ βͺ πΆ) = π (π΄) + π (π΅) + π (πΆ) β π (π΄ β© π΅) β π (π΄ β© πΆ) β π (π΅ β© πΆ) + π (π΄ β© π΅ β© πΆ)
Rule
the probability of an event B occurring when it is
known that some event A has occurred and denoted as,
π (π΅|π΄) = π(π΄ β© π΅) / π(π΄), ππππ£ππππ π (π΄) > 0
Conditional Probability
If A and Aβ are complementary events, then
π (π΄) + π (π΄β²) = 1
Rule
Two events A and B are independent if and only if π (π΅|π΄) = π (π΅), ππ π (π΄|π΅) = π (π΄)
assuming the existences of the conditional
probabilities. Otherwise, A and B are dependent
Independent Events
If in an experiment the events A and B can both occur, then
π (π΄ β© π΅) = π (π΄) π (π΅|π΄), ππππ£ππππ π (π΄) > 0
Product Rule
If the events B1, B2, β¦, Bk constitute a partition of the sample space S such that P(Bi) β 0 for i = 1, 2, β¦, k, then for any event A in S such that P(A) β 0
Bayesβ Rule