Part $2$

This assignment demonstrates the association between the cumulative

distribution function and the probabilities of False Alarm and Miss.

These can be obtained directly from the CDFs of the data from the Target Absent

cohort and Target Present cohort.

Use the intersection $($the closest data value from the input data$)$ and clearly

display the probabilities of false alarm and miss. Obtain the CDF using ksdensity$(.)$

in Matlab $($check the Matlab notes$).$ You may use any other programming

language including EXCEL to get the CDF$.$

Use the CDF and obtain PF and PM and compare the values obtained from the data

counts $($HW$2).$ Display the empirical $($obtained using ecdf$(.)$ command in Matlab$)$

and continuous CDF and mark or identity the points corresponding to PF and PM$.$

Comment on your observations $($not what you