Topic 3 - Probability Flashcards

1
Q

What are permutations

A
  • Number of ways to choose x objects from a total of n objects without replacement
  • Order matters as the same x objects selected in a different order is considered a different outcome
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What is the formula for permutations

A
  • n! / (n-x)!
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What are combinations

A
  • Number of ways to choose x objects out of n without replacement
  • Without distingushing between the different orders in which they could be chosen
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What is the formula for combinations

A
  • n! / x!(n-x)!
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is the definition of a random experiment

A
  • The process of observing something uncertain
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What does collectively exhaustive mean

A
  • If the union of all possible events is equal to the sample space
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What does the complement of an event mean

A
  • The set of all basic outcomes in the sample space that do not belong to A
  • Not A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What are the 3 different ways of assessing probabilty

A
  • Classical Probability
  • Relative Frequency Probability
  • Subjective Probability
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What is the calculation for classical probability

A
  • P(A) = number of satisfying outcomes / number of outcomes in the sample space
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

When is classical probability suitable

A
  • When all outcomes in the sample space are equally likely to occur
  • E.g. rolling a dice
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What is the calculation for relative frequency probability

A
  • P(A) = number of outcomes in population that satisfy event A / number of outcomes in the population
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What is subjective probability

A
  • An individual opinion or belief about the probability occurrence
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What does x! mean

A
  • The total number of possible ways of arranging x objects in order
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What are joint and marginal probabilities

A
  • Marginal: P(B), P(A) etc
  • Joint: P(A u B) etc
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What are the two probability rules

A
  • P(Not A) = 1 - P(A)
  • P(A u B) = P(A) + P(B) - P(A n B)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What is the conditional probability formula

A
  • P(A|B) = P(A n B) / P(B)
  • If A and B are swapped then P(B) becomes P(A)
17
Q

What is the formula for Bayes’ rule

A
  • P(A|B) = P(B|A) * P(A) / P(B)
18
Q

Write out a template for a joint probability table

A

probability powerpoint