swuster
Feb23-10, 11:13 PM
1. The problem statement, all variables and given/known data
A transmission channel is noisy and a binary bit (assume it is a 0 or a 1) has probability of .11 of being incorrectly transmitted. Suppose the bit is sent n (odd) times and a majority decoder announces which bit is received the majority of the time. Assume retransmissions constitute Bernoulli trials.
(a) Let X be the number of errors in n transmissions. Give a formula for the distribution of X.
(b) What is the probability the message is correctly received, for n=25?
2. Relevant equations
n/a
3. The attempt at a solution
X is discrete, so for part (a) I came up with p_{x}(x)=.11^{x}.89^{n-x} which I'm not convinced is totally right.
For part b I want to calculate P(X\leq12) since this is the probability that the message is correctly received (number of errors is less than half). But if I attempt to calculate the cumulative distribution function using my distribution, I get \sum^{12}_{x=1}.11^{x}.89^{n-x} = .06195 which is clearly way too low. Any help?
A transmission channel is noisy and a binary bit (assume it is a 0 or a 1) has probability of .11 of being incorrectly transmitted. Suppose the bit is sent n (odd) times and a majority decoder announces which bit is received the majority of the time. Assume retransmissions constitute Bernoulli trials.
(a) Let X be the number of errors in n transmissions. Give a formula for the distribution of X.
(b) What is the probability the message is correctly received, for n=25?
2. Relevant equations
n/a
3. The attempt at a solution
X is discrete, so for part (a) I came up with p_{x}(x)=.11^{x}.89^{n-x} which I'm not convinced is totally right.
For part b I want to calculate P(X\leq12) since this is the probability that the message is correctly received (number of errors is less than half). But if I attempt to calculate the cumulative distribution function using my distribution, I get \sum^{12}_{x=1}.11^{x}.89^{n-x} = .06195 which is clearly way too low. Any help?