Probability Flashcards

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1
Q

Define unimodal and bimodal

A

one peak vs 2 peaks in histogram

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2
Q

define postive skew

A

tail towards larger values. This causes mean to be further towards the right than the median.

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3
Q

N vs n?

A

N= large population n= sample population

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4
Q

proof that sample mean on a balance beam is where the clockwise and anti clockwise moment is =

A

probability lecture 1. 20 mins

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5
Q

what is variance?

A

how spread out the data is

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6
Q
Define: A,B
A u B
A n B
A'
A/B'
A
first A and B
A or B
A and B
Not A
A but not B
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7
Q

If A n B is not 0 how does A effect B

A

A doesnt effect B, both are mutually exclusive.

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8
Q

What are the three axioms of probability theory?

A

Axiom 1: For any event A ⊂ S, P(A) ≥ 0.
Axiom 2: P(S) = 1
Axiom 3: If A1, A2, A3, … is an infinite collection of mutually-exclusive events, then P(A1 ∪ A2 ∪ A3 ∪ …) = 1

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9
Q

what are the properties of probability?

A
  1. For any event A, P(A) = 1 − P(A
    0
    ).
  2. Monotonicity: if A ⊆ B then P(A) ≤ P(B).
  3. Probability of the empty set: P(Ø) = 0.
  4. Numerical bound: 0 ≤ P(A) ≤ 1.
  5. P(A ∪ B) = P(A) + P(B) − P(A ∩ B)
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10
Q

in conditional probability when are two events independent?

A

Two events are independent if P(A|B) = P(A)
Proposition: Two events A and B are independent if and only if
P(A ∩ B) = P(A)P(B).

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11
Q

what is a bernoulli random variable?

A

variable which only takes values 1 or 0

.

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12
Q

what is the cumulative distribution function?

A

total probability until value of x reached. lec 2 23mins

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