The error in a measurement is normally distributed with mean and standard deviation 1. Consider a

The error in a measurement is normally distributed with mean μ and standard deviation 1. Consider a random sample of n errors, and show that the likelihood ratio 

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test for Ho: μ = 0 versus Ha: #0 rejects the null hypothesis when either x ≥c or x-c. What is c for a test with α = .05? How does the test change if the standard deviation of an error is oo (known) and the relevant hypotheses are Ho: μ = μo versus H: μ + μο?