1.1: Review of Probability Theory Flashcards

(29 cards)

1
Q

Random Experiment

A

process producing one of many unpredictable outcomes

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2
Q

Variation

A

the variability in the outcomes of random experiment

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3
Q

Sample Space,
Notation?

A

list of all possible outcomes in random experiment

Notation: S

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4
Q

What does n(S) mean

A

number of outcomes in the sample space

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5
Q

Event

A

collection of outcomes that share some common attribute, basically a subset in the sample space

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6
Q

What is n(A):

A

the number of times an Event occurs

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7
Q

Probability

A

expeced frequency of times the event will occur when random experiment is repeated 1000000000 times

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8
Q

What are the conditions of probability in a random experiment?

A
  1. probability of all outcomes should be >= 0
  2. Sum of all the probabilities of outcomes = 1
  3. For an event A, The probability of it occuring is -> number of times A occurs/number of outcomes in sample space
    P(a) = n(A)/n(S)
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9
Q

Mathematical Probability
Frequentist Probability

A

M: list it, count it, get the answer, n(A)/n(S)

F: write the code, run it, and evaluate (this is simulation)

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10
Q

Example of Frequentist probability vs Mathematical probability

A

P(of rolling a 6), and in 10 rolls you roll it 1 time on the third role

MP: P(rolling a 6)= 1/6
FP: 0/1, 0/2, 1/3, 1/4, 1/5, 1/6, 1/7, 1/8….

If you roll it 100,000 times eventually it will become 1/6

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11
Q

Law of Large Numbers

A

process of repeating a random experiment many timeks over to compute probability of an event when sample space is unknown

this is why the frequentist probability eventually equals the mathematic probability

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12
Q

What is A∪B

A

Set that consists of any elements found in:

A
B
or both

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13
Q

What is A ∩ B

A

Area overlapping A & B
- football area

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14
Q

What is Addition Law

A

To Calculate P(A∪B):

P(A∪B) = P(A) + P(B)- P(A∩B)

Everything= All of A + All of B - Overlap

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15
Q

What is Mutually Exclusive

A

When P(A∩B) = 0

no overlap, it is empty, or null set

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16
Q

What is A^c

A

Complement is the subset of all outcomes in Sample space that are not in event A

Everything but A

17
Q

A, A^c, S

A

Event A, ANYTHING BUT A, and everything total

18
Q

How to calculate P(A^c)

probability of A complement, OR ALTERNATIVELY TITLED: Law of Complement

A

P(A^c)= 1-P(A)

19
Q

Demorgan Laws

A
  1. P(A∪B)^c = P(A^c ∩ B^c)
  2. P(A∩B)^c = P(A^c ∪ B^c)
20
Q

Multiplicaive rule

A

If you have m trials, each with r outcomes, you can calculate the sample space as

r^m

For example, how many 3 digit numbers are there?
m=3
r= 10

10^3= 1000

21
Q

Permutation

A

ORDERED ARRANGEMENTS of n distinct objects

n! = n(n-1)(n-2)

22
Q

R code factorial?

A

factorial(52)

23
Q

Permutation Rule

A

What are the number of ways to permutate R distinct objects chosen from n distinct objects? arrange R distinct objects from n sample space

nPr = n!/ (n-r)!

24
Q

Combination

A

when order does not matter

(n r) = n!/(r!(n-r)!)

25
How to do perm/comb probability questions?
1. Calculate N(S) as denom-> (num in sample space) C (chosen) 2. Calculate the perm/comb of interest (numeratior) 3. divide
26
Denomination
the numbers
27
suits
the type (aces, clubs, spades, hearts)
28
Redo last few problems of unit 1.1
29