In: Statistics and Probability
A machine prints a word and the number of letters in this word is a Poisson distributed random variable with parameter λ (so it could possibly have zero letters). However, each letter in the word is printed incorrectly with probability 2/3 independently of all other letters. Compute the expectation and the variance of the number of incorrect letters in the word that the machine prints.
Given:
A machine prints a word and the number of letters in this word is a Poisson distributed random variable with parameter λ .
However, each letter in the word is printed incorrectly with probability 2/3 independently of all other letters.
So probability of world is printed incorrectly is
p(Incorrect) = 2/3 = 0.667
Mean, =
Standard deviation, = √
So variance of Poisson =
Variance of probability = p(1-p) = 2/3(1-2/3) = 2/9
1) The expectation of the number of incorrect letters in the word that the machine prints is
expectaion = Mean × P(Incorrect)
= λ×2/3
= 2λ/3
2) The variance of the number of incorrect letters in the word that the machine prints.
Variance = variance of poisson * variance of probability
= λ × p(1-p)
= λ × 2/9
= 2λ/9