Unit 5 (Probabilities) Flashcards

1
Q

Mutually Exclusive

A

A ∩ B, or A and B = 0
Two things CANNOT happen at the same time

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2
Q

Independent

A

A = A | B
INDEPENDENT if P(A) and P(A | B) also happens is the SAME.
if not, it’s dependent
aka one doesn’t affect the other’s probability

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3
Q

P(A ∩ B)
name

A

A and B
(intersection)

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4
Q

P(A ∪ B)
name

A

A or B
(union)

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5
Q

P(A | B)
name

A

A given that B
(conditional)

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6
Q

FORMULA
P(A ∪ B)
Independent

A

A + B - (A ∩ B)

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7
Q

FORMULA
P(A ∩ B)
dependent

A

A · (B | A)

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8
Q

FORMULA
P(A ∩ B)
INdependent

A

A * B

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9
Q

Complement

A

NOT (probability)
Example:
A = arrives at 7
A’ = doesn’t arrive at 7

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10
Q

CARDS
1. How many cards in a deck (minus jokers)
2. How many cards in each suit
3. How many suits
4. How many face cards

A
  1. 52
  2. 13
  3. 4 (heart, spade, club, diamond)
  4. 12 (jack, queen, king)
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11
Q

P(at least 1)
how to get answer?

A

1 - complement
(probability)^(trials)
Example: 90% of shipments arrive on time, what’s the probability out of 20 shipments
(0.9)^20

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11
Q

Order of probabilities

A

Usual formula is smth like this:
(B) < (B|A) < (A) < (A|B)

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12
Q

Independent Event Examples

A

Flipping a coin
Tossing a die
Flipping AND tossing

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13
Q

INTERPRET
Probability

A

The probability of an event will be fraction probability when the experiment is repeated many
times.

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14
Q

INTERPRET
Law of Large Numbers

A

If you action many times and average the result, the probability should be close to the expected/theoretical value of value

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15
Q

Is a probability a DECIMAL or FRACTION?

A

fraction!!!!!11

16
Q

Is probability exact

A

probability is not exact

17
Q

Is randomness predictable in short or long run?

A

Long run (Law of Large Numbers)

18
Q

Simulation Trials

A
  1. assign numbers 00-99 (based on percentage of each outcome)
    Ex: if there’s a 50-50 chance, assign 00-49 as one outcome and 50-99 as the other
  2. do trial many times (or as many times as it tells you to)
19
Q
A