2. Probability Distributions Flashcards

1
Q

What is a Bernoulli distribution?

A

A discrete probability distribution for a single trial with two possible outcomes.

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2
Q

What is the PMF of a Bernoulli(p) distribution?

A

P(X=1) = p, P(X=0) = 1 - p.

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3
Q

What is a Binomial distribution?

A

A distribution representing the number of successes in n independent Bernoulli trials.

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4
Q

What is the expected value of a Binomial(n, p) distribution?

A

E[X] = np.

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5
Q

What is the variance of a Binomial(n, p) distribution?

A

Var(X) = np(1-p).

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6
Q

What is the Poisson distribution used for?

A

Modeling the number of occurrences in a fixed interval given an average rate.

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7
Q

What is the expected value of a Poisson(λ) distribution?

A

E[X] = λ.

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8
Q

What is the standard deviation of a Poisson(λ) distribution?

A

sqrt(λ).

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9
Q

What is a Uniform distribution?

A

A distribution where each outcome in an interval has equal probability.

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10
Q

What is the CDF of a Uniform(a, b) distribution?

A

F(x) = (x - a) / (b - a) for a ≤ x ≤ b.

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11
Q

What is a Bernoulli distribution?

A

A discrete probability distribution for a single trial with two possible outcomes.

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12
Q

What is the PMF of a Bernoulli(p) distribution?

A

P(X=1) = p, P(X=0) = 1 - p.

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13
Q

What is a Binomial distribution?

A

A distribution representing the number of successes in n independent Bernoulli trials.

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14
Q

What is the expected value of a Binomial(n, p) distribution?

A

E[X] = np.

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15
Q

What is the variance of a Binomial(n, p) distribution?

A

Var(X) = np(1-p).

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16
Q

What is the Poisson distribution used for?

A

Modeling the number of occurrences in a fixed interval given an average rate.

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17
Q

What is the expected value of a Poisson(λ) distribution?

A

E[X] = λ.

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18
Q

What is the standard deviation of a Poisson(λ) distribution?

A

sqrt(λ).

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19
Q

What is a Uniform distribution?

A

A distribution where each outcome in an interval has equal probability.

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20
Q

What is the CDF of a Uniform(a, b) distribution?

A

F(x) = (x - a) / (b - a) for a ≤ x ≤ b.

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21
Q

What is a Bernoulli distribution?

A

A discrete probability distribution for a single trial with two possible outcomes.

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22
Q

What is the PMF of a Bernoulli(p) distribution?

A

P(X=1) = p, P(X=0) = 1 - p.

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23
Q

What is a Binomial distribution?

A

A distribution representing the number of successes in n independent Bernoulli trials.

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24
Q

What is the expected value of a Binomial(n, p) distribution?

A

E[X] = np.

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25
What is the variance of a Binomial(n, p) distribution?
Var(X) = np(1-p).
26
What is the Poisson distribution used for?
Modeling the number of occurrences in a fixed interval given an average rate.
27
What is the expected value of a Poisson(λ) distribution?
E[X] = λ.
28
What is the standard deviation of a Poisson(λ) distribution?
sqrt(λ).
29
What is a Uniform distribution?
A distribution where each outcome in an interval has equal probability.
30
What is the CDF of a Uniform(a, b) distribution?
F(x) = (x - a) / (b - a) for a ≤ x ≤ b.
31
What is a Bernoulli distribution?
A discrete probability distribution for a single trial with two possible outcomes.
32
What is the PMF of a Bernoulli(p) distribution?
P(X=1) = p, P(X=0) = 1 - p.
33
What is a Binomial distribution?
A distribution representing the number of successes in n independent Bernoulli trials.
34
What is the expected value of a Binomial(n, p) distribution?
E[X] = np.
35
What is the variance of a Binomial(n, p) distribution?
Var(X) = np(1-p).
36
What is the Poisson distribution used for?
Modeling the number of occurrences in a fixed interval given an average rate.
37
What is the expected value of a Poisson(λ) distribution?
E[X] = λ.
38
What is the standard deviation of a Poisson(λ) distribution?
sqrt(λ).
39
What is a Uniform distribution?
A distribution where each outcome in an interval has equal probability.
40
What is the CDF of a Uniform(a, b) distribution?
F(x) = (x - a) / (b - a) for a ≤ x ≤ b.
41
What is a Bernoulli distribution?
A discrete probability distribution for a single trial with two possible outcomes.
42
What is the PMF of a Bernoulli(p) distribution?
P(X=1) = p, P(X=0) = 1 - p.
43
What is a Binomial distribution?
A distribution representing the number of successes in n independent Bernoulli trials.
44
What is the expected value of a Binomial(n, p) distribution?
E[X] = np.
45
What is the variance of a Binomial(n, p) distribution?
Var(X) = np(1-p).
46
What is the Poisson distribution used for?
Modeling the number of occurrences in a fixed interval given an average rate.
47
What is the expected value of a Poisson(λ) distribution?
E[X] = λ.
48
What is the standard deviation of a Poisson(λ) distribution?
sqrt(λ).
49
What is a Uniform distribution?
A distribution where each outcome in an interval has equal probability.
50
What is the CDF of a Uniform(a, b) distribution?
F(x) = (x - a) / (b - a) for a ≤ x ≤ b.
51
What is a Bernoulli distribution?
A discrete probability distribution for a single trial with two possible outcomes.
52
What is the PMF of a Bernoulli(p) distribution?
P(X=1) = p, P(X=0) = 1 - p.
53
What is a Binomial distribution?
A distribution representing the number of successes in n independent Bernoulli trials.
54
What is the expected value of a Binomial(n, p) distribution?
E[X] = np.
55
What is the variance of a Binomial(n, p) distribution?
Var(X) = np(1-p).
56
What is the Poisson distribution used for?
Modeling the number of occurrences in a fixed interval given an average rate.
57
What is the expected value of a Poisson(λ) distribution?
E[X] = λ.
58
What is the standard deviation of a Poisson(λ) distribution?
sqrt(λ).
59
What is a Uniform distribution?
A distribution where each outcome in an interval has equal probability.
60
What is the CDF of a Uniform(a, b) distribution?
F(x) = (x - a) / (b - a) for a ≤ x ≤ b.
61
What is a Bernoulli distribution?
A discrete probability distribution for a single trial with two possible outcomes.
62
What is the PMF of a Bernoulli(p) distribution?
P(X=1) = p, P(X=0) = 1 - p.
63
What is a Binomial distribution?
A distribution representing the number of successes in n independent Bernoulli trials.
64
What is the expected value of a Binomial(n, p) distribution?
E[X] = np.
65
What is the variance of a Binomial(n, p) distribution?
Var(X) = np(1-p).
66
What is the Poisson distribution used for?
Modeling the number of occurrences in a fixed interval given an average rate.
67
What is the expected value of a Poisson(λ) distribution?
E[X] = λ.
68
What is the standard deviation of a Poisson(λ) distribution?
sqrt(λ).
69
What is a Uniform distribution?
A distribution where each outcome in an interval has equal probability.
70
What is the CDF of a Uniform(a, b) distribution?
F(x) = (x - a) / (b - a) for a ≤ x ≤ b.
71
What is a Bernoulli distribution?
A discrete probability distribution for a single trial with two possible outcomes.
72
What is the PMF of a Bernoulli(p) distribution?
P(X=1) = p, P(X=0) = 1 - p.
73
What is a Binomial distribution?
A distribution representing the number of successes in n independent Bernoulli trials.
74
What is the expected value of a Binomial(n, p) distribution?
E[X] = np.
75
What is the variance of a Binomial(n, p) distribution?
Var(X) = np(1-p).
76
What is the Poisson distribution used for?
Modeling the number of occurrences in a fixed interval given an average rate.
77
What is the expected value of a Poisson(λ) distribution?
E[X] = λ.
78
What is the standard deviation of a Poisson(λ) distribution?
sqrt(λ).
79
What is a Uniform distribution?
A distribution where each outcome in an interval has equal probability.
80
What is the CDF of a Uniform(a, b) distribution?
F(x) = (x - a) / (b - a) for a ≤ x ≤ b.
81
What is a Bernoulli distribution?
A discrete probability distribution for a single trial with two possible outcomes.
82
What is the PMF of a Bernoulli(p) distribution?
P(X=1) = p, P(X=0) = 1 - p.
83
What is a Binomial distribution?
A distribution representing the number of successes in n independent Bernoulli trials.
84
What is the expected value of a Binomial(n, p) distribution?
E[X] = np.
85
What is the variance of a Binomial(n, p) distribution?
Var(X) = np(1-p).
86
What is the Poisson distribution used for?
Modeling the number of occurrences in a fixed interval given an average rate.
87
What is the expected value of a Poisson(λ) distribution?
E[X] = λ.
88
What is the standard deviation of a Poisson(λ) distribution?
sqrt(λ).
89
What is a Uniform distribution?
A distribution where each outcome in an interval has equal probability.
90
What is the CDF of a Uniform(a, b) distribution?
F(x) = (x - a) / (b - a) for a ≤ x ≤ b.
91
What is a Bernoulli distribution?
A discrete probability distribution for a single trial with two possible outcomes.
92
What is the PMF of a Bernoulli(p) distribution?
P(X=1) = p, P(X=0) = 1 - p.
93
What is a Binomial distribution?
A distribution representing the number of successes in n independent Bernoulli trials.
94
What is the expected value of a Binomial(n, p) distribution?
E[X] = np.
95
What is the variance of a Binomial(n, p) distribution?
Var(X) = np(1-p).
96
What is the Poisson distribution used for?
Modeling the number of occurrences in a fixed interval given an average rate.
97
What is the expected value of a Poisson(λ) distribution?
E[X] = λ.
98
What is the standard deviation of a Poisson(λ) distribution?
sqrt(λ).
99
What is a Uniform distribution?
A distribution where each outcome in an interval has equal probability.
100
What is the CDF of a Uniform(a, b) distribution?
F(x) = (x - a) / (b - a) for a ≤ x ≤ b.