Step 1 :The sum of all probabilities in a probability density function must equal 1. Therefore, to find the missing probability, we need to subtract the sum of the given probabilities from 1.
Step 2 :Given that the probability of 0 errors is \(\frac{1}{2}\) and the probability of 1 error is \(\frac{1}{3}\), we can calculate the missing probability as follows:
Step 3 :\(1 - \frac{1}{2} - \frac{1}{3} = \frac{1}{6}\)
Step 4 :Final Answer: The missing probability should be \(\boxed{\frac{1}{6}}\).