p3 Flashcards

1
Q

what is probability?

A

probability deals with predicting the likelihood of future events

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

what is statistics?

A

statistics involves the analysis of the frequency of past events

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

what is an experiment?

A

any procedure that can be repeated any number of times and has a
well-defined set of potential Outcomes

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

what is an outcome?

A

πœ”, is a potential eventuality of an Experiment.

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

what is the sample space

A

or β€˜universe’: Ξ©, the set of all possible outcomes (πœ”) of the
experiment.
o An outcome is a member of the sample space, so we can write πœ” ∈ Ξ©.

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

what is an event

A

𝐴, is some subset of Ξ©, 𝐴 βŠ† Ξ©. Can be a single outcome.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

what are the events for a dice

A

The sample space for a dice roll contains six outcome

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

what is the sample space for a dice

A

Ξ©dice = {1, 2, 3, 4, 5, 6}.

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

what are the outcomes for a dice?

A

Outcomes, πœ” = {1}, or πœ” = {5}, or any other integer number between 1 and 6

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

We can describe three Events 𝐴, 𝐡 and 𝐢 as follows:
o Event 𝐴 - the rolled number is equal to 6;
o Event 𝐡 - the rolled number is odd;
o Event 𝐢 - the rolled number is greater than 3;

what are the outcomes?

A

Each of these events would then correspond to one or more outcomes in Ξ©dice, namely:
o 𝐴 = {6} 𝐡 = {1, 3, 5} 𝐢 = {4, 5, 6}

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

what is the union of A and B

A

The union of 𝐴 and 𝐡, denoted 𝐴 βˆͺ 𝐡, is the set of those outcomes which belong to
𝐴 or 𝐡 (or both).
o 𝐴 βˆͺ 𝐡 occurs if 𝐴 occurs or 𝐡 occurs (or they both occur)

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

what is the intersection of A and B

A

The intersection of 𝐴 and 𝐡, denoted 𝐴 ∩ 𝐡, is the set of those outcomes which
belong to both 𝐴 and 𝐡.
o 𝐴 ∩ 𝐡 occurs if 𝐴 occurs and 𝐡 occurs.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

what is the complement of A

A

The complement of 𝐴, denoted 𝐴, is the set of those outcomes which do not belong
to 𝐴.
o 𝐴 occurs if 𝐴 does not occur

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

what is the difference between set theory and probability theory when it comes to intersection notation

A

the intersection of
two sets. (𝐴 ∩ 𝐡) is used by the set theory community. However, in the context of
probability theory, this is more commonly represented as (𝐴, 𝐡).

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

what is the 1st axiom of probability

A

𝑃 𝐴 ∈ ℝ
0 ≀ 𝑃 𝐴 ≀ 1
The probability of an event A is a real number
between 0 and 1.

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

what is the 2nd axiom of probability

A

𝑃 Ξ© = 1 The certain event has
probability 1

17
Q

what is the 3rd axiom of probability

A

If A ∩ 𝐡 = βˆ…
Then 𝑃 𝐴 βˆͺ 𝐡 = 𝑃 𝐴 + 𝑃(𝐡)
and
1𝑖=Ϊ‚ οΏ½οΏ½
𝑛 𝐴𝑖 = σ𝑖=1
𝑛 𝑃(𝐴𝑖)
The probability of the union of disjoint events is
equal to the sum of their probabilities.

18
Q

what is the The Inclusion-Exclusion Formula

A

𝑃 𝐴 βˆͺ 𝐡 = 𝑃(𝐴) + 𝑃(𝐡) βˆ’ 𝑃(𝐴, 𝐡)

19
Q

what is conditional probability

A

Let 𝐴 and 𝐡 be events with 𝑃(𝐡) > 0. The conditional probability 𝑃(𝐴|𝐡)
(probability of 𝐴 given 𝐡) is defined as:
𝑃(𝐴|𝐡) =𝑃(𝐴,𝐡)/ 𝑃(𝐡)
* This represents the probability that 𝐴 will occur given that 𝐡 has occurred