Intro To Probability
Table of Contents
1. Sample Space
Usually given by a S - list the outcomes
EXAMPLES:
- One Coin Experiment: flipping a coin Sample Space: {H, T}
- Two Fuses Experiment: pulling out defective or undefective fuse Sample Space: {NN, ND, DN, DD}
- Selects two fuses and records how many are defective S = {0, 1, 2}
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Records the Number of Fuses inspected until the second defective is found S = {2, 3, 4, …}
Two is the soonest it can be found cant be before 2.
2. Events and Probabilty in a Random Experiment(equal likely outcome)
Event - can be just one outcome or a collection of outcomes in a sample space.
EXAMPLES:
-
Flip A Coin S : {H, T} Let Event A = Getting Tails (P)robability(A) = 1/2
Note - You can divide by total number of outcomes only if they are equally likely.
- Roll a die S : {1,2,3,4,5,6} Let Event A = Getting a 5 P(A) = 1/6
- Select Random Card S : {deck of 52 cards} Let A to be getting a king P(A) = 4/52 = 1/13
3. Complements of Events
The Compliment of an event A is deonted as AC
AC contains outcomes NOT in A
EXAMPLE: Let Event A = [3, 6] So, Ac = {1,2,4,5} P(A) = 2/6 P(Ac) = 4/6 P(A) + P(Ac) = 1
4. Compund Events
General Addition Rule P(AUB) = P(A) + P(B) - P(AnB)
4.1. Union
U “union” = or. E.G AUB = “A union B” or “A or B”
AUB is an event!
4.2. Intersection
n “intersection” = and e.g AnB = “A intersect B” or “A and B”
AnB is an event!