Probability Flashcards

1
Q

What are the two fundamental ways we can determine probability?

A
  1. theoretical (aka classical)

2. emperical (aka observational)

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2
Q

When are classical methods of probability used?

A

games of chance

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3
Q

Why is theoretical method also called classical

A

because their values are determined by the game itself (the nature of the situation… 6 sided dice)

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4
Q

What is probability?

A

a way of quantifying uncertainty

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5
Q

What do empirical methods use to determine probability?

A

series of random experiments/trials to produce outcomes that cannot b predicted in advance

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6
Q

When a simulation is run or a random sample is used and the results recorded, is theoritical or empirical probability in play?

A

empirical

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7
Q

What is the relative frequency of probability

A

using empiracal probability (simulations, etc) to prove the theoretical probability

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8
Q

what is the formula for relative frequency?

A

number of times A occurred / total number of repetitions

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9
Q

What is the Law of Large Numbers?

A

the relative frequency of an event does approach the theoretical probability of that event as the number of repetitions increases

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10
Q

What is a sample space?

A

A list of all possible outcomes the random experiment can produce

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11
Q

What are the 11 basic probability rules?

A
  1. For any event A, 0 ≤ P(A) ≤ 1
  2. P(S) = 1
  3. Compliment rule: P(not A) = 1 - P(A)
    or
    P(A) = a - P(not A)
  4. If A and B are disjoint events, then P(A or B) = P(A) + P(B)
  5. If A and B are independent, then P(A and B) = P(A) * P(B)
  6. General Addition Rule: For any 2 events A and B, P(A or B) = (PA) + P(B) - P(A and B)
    or if disjoint:
    P(A or B) = P(A) + P(B)
  7. Multiplication Rule for Independent Events: P(A and B) = P(A) * P(B)
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12
Q

What does Probability rules 1: 1. For any event A, 0 ≤ P(A) ≤ 1 mean?

A

that the probability of any event can range between 0 and 1

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13
Q

What does Rule 2: P(S) = 1 mean?

A

the sum of all the probabilities of all possible outcomes is 1

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14
Q

What does Rule 3: P(not A) = 1 - P(A) mean?

A

probability that an event does not occur is 1 minus the probability that it does occur

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15
Q

What is disjoint or mutually exclusive?

A

when two events cannot occur at the same time

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16
Q

What does Rule 4: If A and B are disjoint events, then P(A or B) = P(A) + P(B) mean?

A

If the two events are disjoint, and you are looking for the probability of A or B occurring, then P(A) and P(B)

17
Q

In probability, does “or” mean multiplication, division or addition?

A

addition

18
Q

What does rule 5: P(A and B) = P(event A occurs and event B occurs) mean

A

means you find the the overlap of these two probabilities occurring at the same time

19
Q

in probability, does “and” mean division, multiplication or addition?

A

multiplication

20
Q

If two events are disjoint, what would be P(A and B)

A

0, because they cannot occur at the same time

21
Q

Define independent events

A

if the fact that one event occurs and it does not affect the probability that the other event will occur

22
Q

If two events are not disjoint, but are independent, will P(A and B) be greater than 0

A

yes, because they can still occur at the same time, they just have no affect on each other.

23
Q

If two events are disjoint, can they be independent?

A

if two items cannot occur at the same time, then they can’t have a direct affect on each other.

24
Q

What rule(s) can be used when finding “at least one of”

A
  1. compliment rule:

P(at least one of several events occur) = 1-P(none of the events occur)

25
Q

How is conditional probability notated:

A

(A | B)
A = the probability we seek
B = the given

26
Q

What is the formula for conditional probability?

A

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

always divide by the given event

27
Q

How can you determine if two events are dependent on each other (4)

A

Compare:
1. P(A | B) and P(A)

  1. P(A | B) and P(A | not B)
  2. P(B | A) and
    P(B | not A)
  3. P(A and B) = P(A) * P(B)
28
Q

What is the general multiplication rule for dependent events?

A

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