how would i go about turning my ARL to ANOS?

Project Part III - ANOS Exploration: In Project Part II, ARL values were calculated for different values of dax at varying values of n. The ARL metric is the number of samples between the time when a shift is introduced to a process to the time when the chart signals. The Average Number of Observations to Signal (ANOS) metric is the number of observation between the time when a shift is introduced to a process to the time the chart signals. In Project Part II, different sample sizes (n) were investigated, which would mean that ANOS #ARL, n > 1. Adapt the results from Project Part II from ARL to ANOS. Discuss the results collected in the previous tables. Things that should be discussed would include, but are not limited to: 1) The importance of the results. 2) Graphical representations of ANOS profiles, complete with discussions of their behaviors (i.e. behaviors with respect to k, n, and dox). 3) The differences that occur between these results and those obtained in Project Part II. 4) The possibility of having an "optimal" set of parameters that provide competitive performance metrics throughout different shift sizes. Project Part III - ANOS Exploration: In Project Part II, ARL values were calculated for different values of dax at varying values of n. The ARL metric is the number of samples between the time when a shift is introduced to a process to the time when the chart signals. The Average Number of Observations to Signal (ANOS) metric is the number of observation between the time when a shift is introduced to a process to the time the chart signals. In Project Part II, different sample sizes (n) were investigated, which would mean that ANOS #ARL, n > 1. Adapt the results from Project Part II from ARL to ANOS. Discuss the results collected in the previous tables. Things that should be discussed would include, but are not limited to: 1) The importance of the results. 2) Graphical representations of ANOS profiles, complete with discussions of their behaviors (i.e. behaviors with respect to k, n, and dox). 3) The differences that occur between these results and those obtained in Project Part II. 4) The possibility of having an "optimal" set of parameters that provide competitive performance metrics throughout different shift sizes