There is a chance that a bit transmitted through a digital transmission channel is received in error. Let the random variable X equal the number of bits in error in the next four bits transmitted. The probability distribution is given below: x 0 1 2 3 4 p(x) 0.4561 0.3316 0.1467 0.062 0.0036 Confirm the above represents a valid discrete probability function. Calculate the mean and standard deviation of the discrete probability function
There is a chance that a bit transmitted through a digital transmission channel is received in error. Let the random variable X equal the number of bits in error in the next four bits transmitted. The probability distribution is given below: x 0 1 2 3 4 p(x) 0.4561 0.3316 0.1467 0.062 0.0036 Confirm the above represents a valid discrete probability function. Calculate the mean and standard deviation of the discrete probability function
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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- There is a chance that a bit transmitted through a digital transmission channel is received in error. Let the random variable X equal the number of bits in error in the next four bits transmitted. The
probability distribution is given below:
x |
0 |
1 |
2 |
3 |
4 |
p(x) |
0.4561 |
0.3316 |
0.1467 |
0.062 |
0.0036 |
- Confirm the above represents a valid discrete probability
function . - Calculate the mean and standard deviation of the discrete probability function.
- The continuous random variable X denotes the diameter of a hole drilled in a sheet metal component. The target diameter is 12.5 millimetres. Most random disturbances to the process result in larger diameters. Historical data show that the distribution of X can be modelled by a probability density function:
- If a part with a diameter larger than 12.64 millimetres is scrapped, what proportion of parts is scrapped?
- What proportion of parts lie between 12.5 and 12.64 millimetres?
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