In this question you should state the parameters of any distribution you use.
A customer service call centre categorises incoming calls for follow-up resolution of the issues. The time taken to categorise an incoming call, \(T\) minutes, follows a normal distribution \(\mathrm{N}(2, 0.2^2)\). Incoming calls are categorised as routine or complex calls. The time taken to resolve a routine call, \(X\) minutes, follows a normal distribution \(\mathrm{N}(5, k)\) and the time taken to resolve a complex call, \(Y\) minutes, follows a normal distribution \(\mathrm{N}(20, 6^2)\). You may assume that any incoming call is first categorised as either routine or complex and is immediately followed up with the resolution of the issue. The duration of the call is taken to be the sum of the time taken to categorise the call and then to resolve the issue.
For a randomly chosen incoming call that is categorised as routine and then resolved, there is a probability of \(0.254\) that the duration of the call is more than \(8\) minutes.
There is a review of the resolution processes such that the time taken to resolve a complex call is now reduced by \(20\)%.
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