Question
Show under what condition Poisson distribution tends to Normal distribution.
Answer :
Word Count : 325
The Poisson distribution is defined as: [ P(X = k) = \frac{\lambda^k e^{-\lambda}}{k!}, \quad k = 0, 1, 2, \dots ] where (\lambda) is the mean and variance of the distribution. The mean and variance are equal: [ \mu = \sigma^2 = \lambda ] To see when the Poisson distribution approaches the Normal distribution, consider the limit of large (\lambda). For large (\lambda), (k!) can ____ ________ __________ ______ __________ _____ ________ ___ ______ ________ ___ _________.
_______ _____ __________ _________ _______.
____ _________ ___ ___ ______ __________.
_______ ____ ___ ___ ________.
________ ______ ____ _______ ___ __________ ____ ______ ___ _____ _______ ________.
________ __________ _________ _________ ___.
____ ____ ___ __________ ____ _______ _________ ________ ________ _________.
______ _________ ________ _________ ______ ____.
______ __________ _____ ______ __________ __________ ________ ______ _________ ___ ___ __________.
___ ________ _____ __________ _______ ______ ______ __________.
__________ __________ _____ _______ ___ ____ _____ _______.
_______ _______ ____ _____ _____ __________ __________ ______ _________ _________ _____ ____.
________ __________ ____ ____ _______ _______ _____ __________ ______ _________ _________.
_____ __________ _______ __________ ___ ________ _________ ______ _______ ___ ________.
______ __________ ______ ________ ________ ______ __________ __________ ______ ________ ___.
_______ __________ _________ ________ ____.
_________ ____ _____ _________ _______.
______ __________ ____ _________ _______.
________ __________ ___ ______ ____ ____ ______ _____ _____ ____ ___ ___.
___ __________ ______ ________ __________ ______.
________ ________ ___ ___ _______ _________ ____ ______ ________ _________ ________.
____ __________ _______ ________ _____ ________ __________ _______.
________ _________ ______ ____ ___ ______.
_____ __________ _________ __________ ____.
__________ __________ ________ ________ _________ ________ _______ _____ _____ ____ _______.
_______ _______ _____ _________ ________ _________ ___ ____ _______ ____ __________ ____.
______ ______ _____ ____ ___ __________.
__________ ___ ____ __________ ________ _______.
_______ ______ _____ ______ ______ ________ _________ ______ _______ _______ _______.
______ _________ ______ _____ _______ ______ _______.
____ ____ ________ _____ __________.
_________ _______ ______ _______ ______.
Get Full Answer on WhatsApp
The Poisson distribution is defined as: [ P(X = k) = \frac{\lambda^k e^{-\lambda}}{k!}, \quad k = 0, 1, 2, \dots ] where (\lambda) is the mean and variance of the distribution. The mean and variance are equal: [ \mu = \sigma^2 = \lambda ] To see when the Poisson distribution approaches the Normal distribution, consider the limit of large (\lambda). For large (\lambda), (k!) can ____ ________ __________ ______ __________ _____ ________ ___ ______ ________ ___ _________.
_______ _____ __________ _________ _______.
____ _________ ___ ___ ______ __________.
_______ ____ ___ ___ ________.
________ ______ ____ _______ ___ __________ ____ ______ ___ _____ _______ ________.
________ __________ _________ _________ ___.
____ ____ ___ __________ ____ _______ _________ ________ ________ _________.
______ _________ ________ _________ ______ ____.
______ __________ _____ ______ __________ __________ ________ ______ _________ ___ ___ __________.
___ ________ _____ __________ _______ ______ ______ __________.
__________ __________ _____ _______ ___ ____ _____ _______.
_______ _______ ____ _____ _____ __________ __________ ______ _________ _________ _____ ____.
________ __________ ____ ____ _______ _______ _____ __________ ______ _________ _________.
_____ __________ _______ __________ ___ ________ _________ ______ _______ ___ ________.
______ __________ ______ ________ ________ ______ __________ __________ ______ ________ ___.
_______ __________ _________ ________ ____.
_________ ____ _____ _________ _______.
______ __________ ____ _________ _______.
________ __________ ___ ______ ____ ____ ______ _____ _____ ____ ___ ___.
___ __________ ______ ________ __________ ______.
________ ________ ___ ___ _______ _________ ____ ______ ________ _________ ________.
____ __________ _______ ________ _____ ________ __________ _______.
________ _________ ______ ____ ___ ______.
_____ __________ _________ __________ ____.
__________ __________ ________ ________ _________ ________ _______ _____ _____ ____ _______.
_______ _______ _____ _________ ________ _________ ___ ____ _______ ____ __________ ____.
______ ______ _____ ____ ___ __________.
__________ ___ ____ __________ ________ _______.
_______ ______ _____ ______ ______ ________ _________ ______ _______ _______ _______.
______ _________ ______ _____ _______ ______ _______.
____ ____ ________ _____ __________.
_________ _______ ______ _______ ______.
Get Full Answer on WhatsApp
IGNOU NEWS
Assignment Submission Last Date Extended Till 30 June 2026 Click Here★★★IGNOU June 2026 TEE Date Sheet Released Click Here★★★