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
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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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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