'data.frame': $428$ obs. of $5$ variables:

$ Day.of$.$Week: int $1111111111...$

$ Carrier : chr $"$DH$""$US$""$DH$""$DH$"...$

$ Origin : chr "IAD" "DCA" "IAD" "IAD" $...$

$ Destination: chr "LGA" "LGA" "LGA" "LGA" $...$

$ Status : int $0010101010...$

Attached Files:

File delay$2.$csv $(6\mathrm{.}733$ KB$)$

This assignment asks you to examine the Bayesian algorithm for classification. Provide your answers to the questions in a Word document named Assign$2\_$LastName.doc along with your source code that should be saved as Assign$2\_$LastName, and click the title link to upload and submit them.

The attached dataset contains the on$-$time performance of domestic flights operated by large air carriers.

Calculate the conditional probability of the Delay given Carrier $=$ DL$,$ Day of Week$=$Sunday $(1),$Destination $=$ JFK$,$ and Origin $=$ DCA. $($Show your work by writing both equations and computation in R$.)(50$ pts$)$

Carrier $=$ DL$,$ DayofWeek $=1,$ Destination $=$ JFK$,$ Origin $=$ DCA $($Please note that $"0"$ signifies "Not Delay," and $"1"$ signifies "Delay.$)$

Suppose that you need to take the following flight: It departs on Monday, and the flight carrier is DH$.$ The origin of the flight is Dulles$/$Washington International airport $($IAD$),$ and the flight's destination is LaGuardia Airport $($LGA$).$ Predict whether this flight would be delayed or on time. $(50$ pts$)$