Classical definition of probability. Properties of probability. Calculating probability of events
Learning objectives
You will learn concepts related with calculating probability and you will learn properties of probability.
Learning effect
Learning concepts related with calculating probability and learning properties of probability.
Prepare information for the following subjects:
I. Experiments, elementary events, sample spacesample space, operations of events.
II. Identifying probabilityprobability.
III. Properties of probability.
IV. Classical probability.
See if information you prepared are among the following one:
I. Experiments, elementary events, sample space, operations of events
An experimentexperiment – a repeatable experiment whose outcome we cannot predict.
An elementary eventelementary event – an outcome of the experiment.
Sample space – a set of all elementary events, marked with the letter Ω (omega).
A complementary event to the event Acomplementary event to the event A – an event A’ to which are favourable all elementary events that are not favourable to the A event.
II. Identifying probability
Probability defined on a finite sample spacesample space Ω is such function P that assigns to each event A, A ⊂ Ω a real number P(A) in such a way that:
(A1) P(A) ≥ 0
(A2) P(Ω) = 1
(A3) if A, B ⊂ Ω i A ∩ B = ∅, then P(A ∪ B) = P(A) + P(B).
A pair (Ω, P) – probability space.
III. Properties of probability
Properties of probabilityprobability:
P(∅) = 0,
if A ⊂ B, then P(A) ≤ P(B),
P(A) ≤ 1,
P(A') = 1 - P(A),
P(A ∪ B) = P(A) + P(B) - P(A ∩ B),
If events AIndeks dolny 11, AIndeks dolny 22, …, AIndeks dolny nn ⊂ Ω are mutually exclusive then P(AIndeks dolny 11 ∪ AIndeks dolny 22 ∪ ... ∪ AIndeks dolny nn) = P(AIndeks dolny 11) + P(AIndeks dolny 22) + ... P(AIndeks dolny nn).
IV. Classical probability
Classical probabilityprobability definition.
If the sample space Ω is finite and all elementary events are equally probable and is any event in this space, then:
Open the interactive illustration, that describes how to calculate probability of an event and watch it carefully.
We calculate the probability of an event A where after rolling a symmetric, six‑sided dice and a flip a symmetric coin, we obtain an even number on the dice and heads.
We roll the dice and flip the coin and get a set of elementary events:
Ω = {O,1, O,2, O,3, O,4, O,5, O,6, R,1, R,2, R,3, R,4, R,5, R,6}
|Ω| = 12A – event A is an event where we can heads an an even number
|A| = 3
Probability of the event A:
Probability of the event A is 0,25.
We flip a symmetric coin three times.
a. Write all elements of the sample spacesample space Ω.
b. Write all elementary events favourable to events A and B if:
A - the event where we get at least one heads,
B - the event where we get heads three times or tails three times.
Give number of elementary events favourable to events A and B.
In a certain experimentexperiment, the set of elementary events is:
Ω = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}.
The set of elementary events favourable to events A, B and C is defined as follows:
A = { x: x ϵ Ω ʌ x ≤ 4},
B = { x: x ϵ Ω ʌ 3 ≤ x ≤ 5},
C = { x: x ϵ Ω ʌ 4 ≤ x ≤ 8}.
Write all elementary events favourable to events:
A, B, C, A ∪ B, A ∩ C, C’.
A random letter was chosen from letters of the word PRAWDOPODOBIEŃSTWO. Calculate probabilityprobability that it is letter P or O.
Knowing that , calculate and .
An extra task:
Calculate P(A ∪ B) and P(A’ ∩ B’), knowing that
A ⊂ Ω and B ⊂ Ω are mutually exclusive events,
P(A') = ,
P(B') = .
An experimentexperiment – a repeatable experiment whose outcome we cannot predict.
An elementary eventelementary event – an outcome of the experiment.
Sample space – a set of all elementary events, marked with the letter Ω (omega).
A complementary event to the event Acomplementary event to the event A – an event A’ to which are favourable all elementary events that are not favourable to the A event.
Probability defined on a finite sample spacesample space Ω is such function P that assigns to each event A, A ⊂ Ω a real number P(A) in such a way that:
(A1) P(A) ≥ 0,
(A2) P(Ω) = 1,
(A3) if A, B ⊂ Ω i A ∩ B = ∅, then P(A ∪ B) = P(A) + P(B).
Classical probabilityprobability definition. If the sample space Ω is finite and all elementary events are equally probable and is any event in this space, then: .
Exercises
We roll a symmetric, six-sided dice twice. Probability of getting the same number both times is equal to:
- 36
We know about the A and B events that A ⊂ Ω and B ⊂ Ω and also P(A ∪ B) = 0,5 and P(A) = P(A ∩ B) = . Calculate P(B) i P(B – A).
We draw one number from a set of two‑digit numbers. Calculate the probability that this number can be divided by 2 or by 3. Write the solution and answer in English.
Indicate which pairs of expressions or words are translated correctly.
- prawdopodobieństwo - probability
- doświadczenia losowe - experiment
- zdarzenie elementarne - elementary event
- przestrzeń probabilistyczna - elementary event
- doświadczenia losowe - probability
- zdarzenie przeciwne do zdarzenia A
- doświadczenia losowe
- sample space
- an experiment
- a complementary event to the event A
- zdarzenie elementarne
- an elementary event
- przestrzeń probabilistyczna
Glossary
zdarzenie przeciwne do zdarzenia A
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wymowa w języku angielskim: complementary event to the event A
zdarzenie elementarne
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wymowa w języku angielskim: elementary event
doświadczenia losowe
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wymowa w języku angielskim: experiment
prawdopodobieństwo
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wymowa w języku angielskim: probability
przestrzeń probabilistyczna
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wymowa w języku angielskim: sample space
Keywords
elementary eventelementary event
experimentexperiment
sample spacesample space