You work for an loan analytics organization have been tasked with writing a program that simulates an analysis of loan applications.

Code a modular program that uses parallel arrays to store loan application credit scores (values generated between 300 and 900), score ratings (poor, fair, good, very good, or exceptional based on credit score) and loan status (approved or declined applications based on credit score).

The program must do the following:

The program must first ask the user for the number of loan applications that will be in the simulation. This must be done by calling the getNumLoanApplications() function (definition below).

After the input of the number of accounts, the program must use loops and random numbers to generate the credit score, score rating, and application result for each loan application in parallel arrays. These arrays must not be declared globally (major error).

The following arrays must be declared and populated:

creditScores[] - an array of type int that holds the credit score for the loan applications. The size of the array is determined by the number of loan applications the user entered in step 1. The values in this array represent the credit scores for each loan application. Credit scores for loan applications range from 300 - 900.

scoreRatings[] - an array of type string to hold the credit score rating for the loan applications. The size of the array is determined by the number of loan applications the user entered in step 1. The values in the array represent the credit score rating for the loan application based on the credit score generated. In this simulation, credit scores can be one of the following:

"poor" - Credit Score between 300 and 579

"fair" - Credit Score between 580 and 669

"good" - Credit Score between 670 and 739

"very good" - Credit Score between 740 and 799

"exceptional" - Credit Score between 800 and 900

loanStatuses[] - an array of type string to hold the status of each loan application. The size of the array is determined by the number of loan applications the user entered in step 1. The values in the array represent the status of each loan application based on the credit score generated. In this simulation, a loan application is "Approved" if the credit score generated is 630 or higher, otherwise the loan application is "Declined".

Populate each of these arrays by using a loop that will execute based on the number of loan applications the user entered in step 1. On each pass, call the generateCreditScore function (definition below) to generate a loan application credit score and store in the creditScores[] array. Then, call the generateScoreRating() function (definition below) using the credit score generated to generate a score rating and store in the scoreRatings[] array. Finally, call the generateStatus() function (definition below) using the credit score generated to generate a loan status and store in the loanStatuses[] array.

Once all of the arrays are populated, the program must display the result statistics of the simulation. This includes displaying the status, credit score and the credit score rating in each loan application along with total counts of loans approved, declined, and credit score rating category counts. This must be done by calling the analysis() (defined below) function that accepts all of the arrays as well as the number of loan applications generated and evaluated in the simulation the user entered in step 1.

main(). In this simulation, credit scores can be one of the following:

"poor" - Credit Score between 300 and 579

"fair" - Credit Score between 580 and 669

"good" - Credit Score between 670 and 739

"very good" - Credit Score between 740 and 799

"exceptional" - Credit Score between 800 and 900

instructions for this in picture

output be line

Enter the number of Loan Applications to be evaluated (min 50 - max 2000): 5000

Error : Invalid entry

Enter the number of Loan Applications to be evaluated (min 50 - max 2000): -99

Error: Invalid entry

Enter the number of Loan Applications to be evaluated (min 50 - max 2000): 1500

Application Status: Approved Credit score: 745 Score rating: Very good

Application Status: Approved Credit score: 639 Score rating: good

Application Status: Declined Credit score: 200 Score rating: poor

Application Status: Approved Credit score: 800 Score rating: exceptional

Application Status: Declined Credit score: 544 Score rating: poor

After 1500 rows

---------------------------------------------

Stats:-

---------------------------------

Total Applications: 1500

Loans Approved: 700

Loans Declined: 800

------------------------------------------

Total Score by rating:

# "poor" - Credit Score between (300 - 579 ) 2

# "fair" - Credit Score between ( 580 - 669) 399

# "good" - Credit Score between (670 - 739) 299

# "very good" - Credit Score between (740 - 799) 186

# "exceptional" - Credit Score between (800 - 900) 2

----------

Transcribed Image Text:Application Status: Declined Credit Score: 589 Application Status: Approved Application Status: Declined Application Status: Approved Application Status: Declined Application Status: Approved Application Status: Declined Application Status: Declined Application Status: Declined Application Status: Declined Application Status: Declined Application Status: Approved Application Status: Approved Application Status: Approved Application Status: Approved Application Status: Declined Application Status: Approved Application Status: Declined Application Status: Declined Application Status: Approved Application Status: Declined Application Status: Declined Application Status: Declined Application Status: Declined Application Status: Declined Application Status: Approved Application Status: Approved Application Status: Approved Application Status: Declined Credit Score: 648 Credit Score: 382 Credit Score: 753 Credit Score: 374 Credit Score: 720 Credit Score: 302 Credit Score: 623 Credit Score: 531 Credit Score: 469 Credit Score: 578 Credit Score: 759 Credit Score: 708 Credit Score: 719 Credit Score: $71 Credit Score: 303 Credit Score: 645 Credit Score: 481 Credit Score: 404 Credit Score: 692 Credit Score: 585 Credit Score: 413 Credit Score: 398 Credit Score: 489 Credit Score: 422 Credit Score: $38 Credit Score: 737 Credit Score: 710 Credit Score: 561 Score Rating: foir Score Rating: foir Score Rating: poor Score Rating: very good Score Rating: poor Score Rating: Rood Score Rating: poor Score Rating: foir Score Rating: poor Score Rating: poor Score Rating: poor Score Rating: very good Score Rating: Rood Score Rating: Rood Score Rating: exceptional Score Rating: poor Score Rating: foir Score Rating: poor Score Rating: poor Score Rating: good Score Rating: fair Score Rating: poor Score Rating: poor Score Rating: poor Score Rating: poor Score Rating: exceptional Score Rating: good Score Rating: good Score Rating: poor
Transcribed Image Text:Application Status: Approved Application Status: Declined Application Status: Approved Application Status: Approved Application Status: Declined Application Status: Declined Application Status: Approved Application Status: Approved Application Status: Approved Application Status: Declined Application Status: Declined Application Status: Approved Application Status: Declined Stats: Total Applications: 1505 Loans Approved: 692 Loans Declined: 813 Total Scores By Rating: Credit Score: 822 Credit Score: 311 Credit Score: 719 Credit Score: 861 Credit Score: 556 Credit Score: 590 Credit Score: 863 Credit Score: 783 Credit Score: 816 Credit Score: 432 Credit Score: 552 Credit Score: 641 Credit Score: 454 # of Poor Scores (300 579): 700 # of Fair Scores (580 669): 215 # of Good Scores (670- 739): 183 # of Very Good Scores (740 - 799): 155 # of Exceptional Scores (800 - 900): 252 Process exited after 62.22 seconds with return value 0 Press any key to continue Score Rating: exceptional Score Rating: poor Score Rating: good Score Rating: exceptional Score Rating: poor Score Rating: fair Score Rating: exceptional Score Rating: very good Score Rating: exceptional Score Rating: poor Score Rating: poor Score Rating: fair Score Rating: poor

Question

You work for an loan analytics organization have been tasked with writing a program that simulates an analysis of loan applications.

Code a modular program that uses parallel arrays to store loan application credit scores (values generated between 300 and 900), score ratings (poor, fair, good, very good, or exceptional based on credit score) and loan status (approved or declined applications based on credit score).

The program must do the following:

The program must first ask the user for the number of loan applications that will be in the simulation. This must be done by calling the getNumLoanApplications() function (definition below).
After the input of the number of accounts, the program must use loops and random numbers to generate the credit score, score rating, and application result for each loan application in parallel arrays. These arrays must not be declared globally (major error).
The following arrays must be declared and populated:
- - creditScores[] - an array of type int that holds the credit score for the loan applications. The size of the array is determined by the number of loan applications the user entered in step 1. The values in this array represent the credit scores for each loan application. Credit scores for loan applications range from 300 - 900.
  - scoreRatings[] - an array of type string to hold the credit score rating for the loan applications. The size of the array is determined by the number of loan applications the user entered in step 1. The values in the array represent the credit score rating for the loan application based on the credit score generated. In this simulation, credit scores can be one of the following:
    - "poor" - Credit Score between 300 and 579
    - "fair" - Credit Score between 580 and 669
    - "good" - Credit Score between 670 and 739
    - "very good" - Credit Score between 740 and 799
    - "exceptional" - Credit Score between 800 and 900
  - loanStatuses[] - an array of type string to hold the status of each loan application. The size of the array is determined by the number of loan applications the user entered in step 1. The values in the array represent the status of each loan application based on the credit score generated. In this simulation, a loan application is "Approved" if the credit score generated is 630 or higher, otherwise the loan application is "Declined".
  - Populate each of these arrays by using a loop that will execute based on the number of loan applications the user entered in step 1. On each pass, call the generateCreditScore function (definition below) to generate a loan application credit score and store in the creditScores[] array. Then, call the generateScoreRating() function (definition below) using the credit score generated to generate a score rating and store in the scoreRatings[] array. Finally, call the generateStatus() function (definition below) using the credit score generated to generate a loan status and store in the loanStatuses[] array.
Once all of the arrays are populated, the program must display the result statistics of the simulation. This includes displaying the status, credit score and the credit score rating in each loan application along with total counts of loans approved, declined, and credit score rating category counts. This must be done by calling the analysis() (defined below) function that accepts all of the arrays as well as the number of loan applications generated and evaluated in the simulation the user entered in step 1.

main(). In this simulation, credit scores can be one of the following:

- "poor" - Credit Score between 300 and 579
- "fair" - Credit Score between 580 and 669
- "good" - Credit Score between 670 and 739
- "very good" - Credit Score between 740 and 799
- "exceptional" - Credit Score between 800 and 900
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