MAT 521: Probability Distributions and Expectations

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51 Terms

1
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What is notation for Bernoulli

X ~ Bern(p), P(X = 1) = p, P(X = 0) = 1 - p

2
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What is the notation for a Binomial distribution?

X ~ Bin(n, p)

3
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What is the probability mass function (PMF) for a Binomial distribution?

P(X = k) = (n choose k) p^k (1 - p)^(n - k)

4
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What are the possible values of k in a Binomial distribution?

k = 0, ..., n

5
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What is the expected value E[X] of a Binomial distribution?

E[X] = np

6
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What is the distribution represented by X ~ HyperGeo(w, b, n)?

Hypergeometric distribution

7
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What is the PMF formula for a Hypergeometric distribution?

P(X = k) = [(w choose k)(b choose n - k)] / (w + b choose n)

8
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What are the possible values of k in a Hypergeometric distribution?

k = 0, ..., n

9
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What is the distribution type for a Discrete Uniform random variable?

X ~ Unif(C)

10
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What is the PMF for a Discrete Uniform random variable?

P(X = t) = 1 / |C| if t ∈ C

11
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How is the PMF calculated for a subset A of C in a Discrete Uniform distribution?

P(X = A) = |A| / |C|

12
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What is the expected value E[X] for a Discrete Uniform random variable?

E[X] = (a + b) / 2

13
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What distribution is represented by X ~ Geom(p)?

Geometric distribution

14
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What does X represent in a geometric distribution?

The number of failures before the 1st success

15
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What is the PMF of a geometric distribution?

P(X = k) = (q)^k * p, where q = 1 - p

16
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What is the expected value E[X] of a geometric distribution?

E[X] = q / p

17
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What is the variance Var[X] of a geometric distribution?

Var[X] = q / p^2

18
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What is the distribution of First Success

X ~ Fs.(p)

19
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What does First Success measure

number of trials until 1st success

20
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What is Expected Value for First Success

E[X] = 1 / p

21
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What is PMF for First Success

PMF: P(X = k) = (1 - p)^(k - 1) * p, k = 1, 2, ...

22
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What is the distribution of a Negative Binomial random variable?

X ~ NegBin(r, p)

23
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What does the Negative Binomial distribution represent?

The number of failures before the rth success.

24
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What is the PMF of a Negative Binomial distribution?

P(X = k) = (n + r - 1 choose r - 1) p^r (1 - p)^k

25
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What is the expected value E[X] of a Negative Binomial distribution?

E[X] = r(1 - p)/p

26
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What is the variance Var[X] of a Negative Binomial distribution?

Var[X] = r(1 - p)/p^2

27
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What is the distribution for the number of failures before the rth success in a negative hypergeometric distribution?

X ~ NHGeo(m, N, r)

28
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In a negative hypergeometric distribution, what does N represent?

Total population size

29
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In a negative hypergeometric distribution, what does K represent?

# successes in the population

30
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In a negative hypergeometric distribution, what does r represent?

# successes waiting for

31
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What is the expected value E[X] in a negative hypergeometric distribution?

E[X] = r(N - K) / (K + 1)

32
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What is the distribution of a random variable X that follows a Poisson distribution?

X ~ Pois(λ)

33
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What is the probability mass function (PMF) of a Poisson random variable?

P(X = k) = e^(-λ) λ^k / k!

34
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What is the expected value E[X] of a Poisson random variable?

E[X] = λ

35
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What is the variance Var[X] of a Poisson random variable?

Var[X] = λ

36
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What does a Poisson random variable X count?

The number of successes in a fixed region

37
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What does λ represent in a Poisson distribution?

The rate of occurrence

38
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What is the distribution of a uniform random variable?

X ~ Unif(a, b)

39
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What is the expected value E[X] of a uniform random variable X ~ Unif(a, b)?

E[X] = (a + b) / 2

40
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What is the variance Var[X] of a uniform random variable X ~ Unif(a, b)?

Var[X] = (b - a)^2 / 12

41
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What is the notation for a normal distribution?

X ~ N(μ, σ²)

42
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What does μ represent in a normal distribution?

Mean

43
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What does σ² represent in a normal distribution?

Variance

44
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What is the probability density function (PDF) of a normal distribution?

f(x) = φ((x - μ) / σ)

45
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What is the cumulative distribution function (CDF) of a normal distribution?

F(x) = ((x - μ) / σ(1/ σ))

46
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What is the distribution of a random variable X that models time between independent events occurring at a constant average rate?

X ~ Expo(λ)

47
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What does λ represent in the exponential distribution?

The rate of events per unit of time

48
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What is the probability density function (PDF) of the exponential distribution?

f(x) = λ e^(-λx)

49
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What is the cumulative distribution function (CDF) of the exponential distribution?

F(x) = 1 - e^(-λx)

50
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What is the expected value E[X] of a random variable X following an exponential distribution?

E[X] = 1 / λ

51
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What is the variance Var[X] of a random variable X following an exponential distribution?

Var[X] = 1 / λ²