2. Math & Statistics - Probability Flashcards

1
Q

What is sample space?

A

The elementary outcomes, which together comprise the sample space, constitute the ultimate breakdown of the potential results of an experiment. For instance, in rolling a die, the elementary outcomes are the points 1, 2, 3, 4, 5, and 6, which together constitute the sample space.

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2
Q

How to denote the sample space?

A

The sample space by S
The elementary outcomes by e1, e2, e3, …
Events by A, B, and so on

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3
Q

What does probability study?

A

Randomness

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4
Q

What is probability?

A

Probability is the proportion of a certain occurrence in a long run (only in large number of occurrences).

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5
Q

What is the proportion of occurrence?

A

1 / sample space

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6
Q

What is the probability of both events to happen?

A

P(A and B) = P(A) * P(B)

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7
Q

What is the probability of event A or B to happen?

A

P(A or B) = P(A) + P(B) - P(A and B)

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8
Q

What is P(A subscript C)

A

P(A subscript C) = 1 - P(A)

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9
Q

What kind of letters does events use?

A

Notation of probability events usually alphabets letters from the begging of alphabet

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10
Q

Qual a formula de intersecção de probabilidade?

A

P(A intersecção B) = P(A) * P(B)

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11
Q

O que é a probabilidade de um evento condicional?

A

É a probabilidade de um evento acontecer, dado a ocorrência de outro evento.

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12
Q

Como representar evento condicional?

A

P(A | B)

If we want to express the probability of one event happening given another one has already happened, we use the “|” symbol to mean “given.”

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13
Q

Como calcular eventos condicionais?

A

P (A | B) = P(A or B) / P(B)

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14
Q

Qual método pode ser utilizado para visualizar eventos de probabilidade independentes?

A

Venn Diagram

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15
Q

Qual técnica pode ser utilizada para visualizar eventos de probabilidade condicionais?

A

Árvore de probabilidade

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16
Q

What is the key to creating a good sample?

A

Choose one that is as close a match to your population as possible.

If your sample is representative, this means it has similar characteristics to the population. And this, in turn, means that you can use your sample to predict what characteristics the population will have.

17
Q

Quando usar a probabilidade convencional?

A

Quando estivermos lidando com variáveis discretas e eventos independentes.

18
Q

Quando usar a probabilidade Bayesiana?

A

Quando estivermos lidando com eventos dependentes.

19
Q

Quando usar a probabilidade baseada na “Central Theorem Limit”

A

Quando estivermos lidando com variáveis quantitativas contínuas.

20
Q

Quais as condições de um evento probabilístico?

A
  1. Mutuamente exclusivo
  2. Independente
  3. Condicional
21
Q

O que é um Evento Independente?

A

each event is not affected by other events

22
Q

O que é um Evento Dependente ou Condicional?

A

an event is affected by other events

23
Q

O que é um Evento Mutuamente Excludente?

A

events can’t happen at the same time

24
Q

Qual é outra forma de escrever P(A união B)

A

P(A or B)

25
Q

Qual é outra forma de escrever P(A intersecção B)

A

P(A and B)

26
Q

Qual a probabilidade de P(A or B) quando A e B são eventos “Mutually Exclusive”?

A

P(A or B) = P(A) + P(B)

27
Q

Qual a probabilidade de P(A or B) quando A e B não são eventos “Mutually Exclusive”?

A

P(A or B) = P(A) + P(B) - P(A and B)

28
Q

Qual a probabilidade de eventos compostos independentes?

A

A probabilidade de dois ou mais eventos independentes é o produtos dos eventos.

P(A) * P(B)