Math 431 - Introduction to Probability
September 8, 2023
Last time.
Probability Space. A probability space is a triple (Ω,F,P).
Ω is the sample space.(set of all possible outcomes)
F set of events. (Subset of Ω). (∅,Ω∈F)
P is a probability measure. P:F→[0,1]
A1,…,An disjoint -> P(A1∪⋯∪An)=P(A1)+⋯+P(An)
P(⋃iAi)=∑iP(Ai)
Ω is a finite set.
Each outcome is equally likely.
Ω=ω1,…,ωn
P(ωi)=P(ω2)=⋯=P(ωn)=n1
∑iP(ωi)=P(⋃inωi=1
A⊂Ω. P(A)=P(a1,…,an)=∑i=1nP(ωi)=∣Ω∣∣A∣.
Worksheet.
1- Possible outcomes: (a,b,c),1≤a≤6,b,c∈H,T
2- b. (a,b),1≤a,b≤6
d. Ω=(a,b),1≤a≤b≤6 - different. (1,1) is 1/36 and (1,2) is 1/18 (because (2,1) (1,2) is same.)
Sampling
We have a finite set X. Non empty set.
We take a sample of size $k$ from the set unfiromly at random.
Can take without replacement or with replacement.
Can also consider with order or without order.
With order: (a1,a2,…,ak).- ordered sequence. without order: pick 3 dice and get a set with 3 dice (without order information). - a1,a2,…,ak
Sample from X with replacement k times.
Ω=(a1,a2,…,ak),ai∈X=Xk
∣Ω∣=nk , n=∣X∣
Sample from X without replacement k times with order
1≤k≤n
Ω=(a1,a2,…,ak),ai∈X,ai=aj if i=j
∣Ω∣=(n−k)!n!
without replacement and without order
size = k
Ω=a1,a2,…,ak,ai∈X,ai=aj if i=j
∣Ω∣=(kn)=k!(n−k)!n!