5. Define (i) Binomial Distribution X-n for 1) Vii) Poisson Distribution. for X, K,. Xx (iii) List Binomial Distribution's mean variances = Mx Ct)= ECe+) X-n moment generating function = %3D (iv) List Poisson Distribution's mean = variances = My Ct)= ECe+^)= moment generating function: %3D %3D %3D %3D

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5. Define
(i)
Binomial Distribution
X-n
for X, ,Xzj'
1)
Vii)
Poisson Distribution.
for ki, K,
Y-1C
(iii)
List Binomial Distribution's
mean
variances =
Mx (4)= ECe)
moment generating function =
X-n
X-n
(iv)
List Poisson Distribution's
mean =
variances =
moment generating function
MyCt)= ECe+^)=
Transcribed Image Text:5. Define (i) Binomial Distribution X-n for X, ,Xzj' 1) Vii) Poisson Distribution. for ki, K, Y-1C (iii) List Binomial Distribution's mean variances = Mx (4)= ECe) moment generating function = X-n X-n (iv) List Poisson Distribution's mean = variances = moment generating function MyCt)= ECe+^)=
Expert Solution
Step 1

Probability distributions are broadly classified into two types 

1. Discrete Distributions 

2. Continuous Distributions.

Discrete distributions: Binomial distributions, Poisson distributions, Negative Binomial, Geometric, Hypergeometric distributions.

Continuous distributions: Exponential, Normal, uniform, gamma, beta distributions.

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