Week 2: Probability Theory Flashcards

1
Q

MECE

A

Mutually Exclusive Collectively Exhaustive

Events cannot occur at the same time but one of the events must occur

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Factorials definition and denotation

A

n! = number of ways which n different objects can be places in order

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Permutations

A

number of different groups of r objects which can be chosen in order from n different objects

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Combinations

A

number of different groups of r objects which can be chosen from n different objects – order is irrelevant

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Pairwise mutually exclusive

A

used to describe a collection of events where no two events can occur simultaneously

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Probability of events:

  • If A is impossible
  • If B is certain
  • If A is more likely than B
A
  • If A is impossible P(A) = 0
  • If A is certain P(A) = 1
  • If A is more likely to occur than B P(A) > P(B)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What does N denote?

A

total number of equally likely outcomes

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What does n denote?

A

The number of these elementary outcomes that are favourable to our event in interest

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Permutation Equation

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Combinations formula

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What is the equation associated with relative frequency?

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

3 axioms of event probability

A
  1. for any event A, P(A) >/= 0
  2. for the sample space S, P(S) = 1
  3. If {A(i)}, i - 1,2…n are mutually exclusive events
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Probability of mutually exclusives union

A

Sum of their respective probabilities

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Symbol of Union

A

U

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Meaning and Symbol of Intersect

A

∩ - and

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Meaning and Symbol of ‘Complement of’

A

∁- Complement of a set is the set that includes all the elements of the universal set that are not present in the given set

17
Q

What does the addictive law state?

A

So P(A ∪ B) is the probability that at least one of A and B occurs and P(A ∩ B) if the probability that both A and B occur

18
Q

The Multiplicative Law

A

The probability of occurrence of both events A and B is equal to the product of the probability of B occurring and the conditional probability that event A occurring given that event B occurs

19
Q

Baye’s Formula (simplest form)

A
20
Q

Total Probability Equation

A
21
Q

Bayes Formula - General form

A
22
Q

When are two events A and B independent?

A

if and only if: