Use the accompanying Credit Risk Data to perform the activities in parts a through d below. Click the icon to view the Credit Risk Data. . - X and Savings [Round to the nearest cent as needed.) .) b. Apply Pareto analysis to draw conclusions about the combined amount of money in checking and savings accounts. Complete the Pareto analysis table below. (Type an integer or decimal rounded to two decimal places as needed.) Combined Checking % Credit Risk Data Customers 12,751 7,015 Months Months Marital 5,683 Loan Purpose Checking Savings Customer Employed Status Job 0 Small Appliance 723 13 12 3,508 Single Unskilled Furniture 0 1,236 25 O Divorced Skilled 2,902 New Car 0 389 19 119 Single Management 1,398 Furniture 626 341 13 14 Single Unskilled Education 967 4,716 40 45 1,390 Single Skilled Furniture 2,902 0 11 13 Married Skilled 1,236 New Car 0 227 13 16 Married Unskilled 978 Business 0 524 14 2 Single Unskilled Small Appliance 6,521 494 37 9 Single Skilled 974 Small Appliance 974 0 25 4 Divorced Skilled 967 Business 0 978 49 0 0 Single Management New Car 906 0 3,508 11 15 Single Unskilled = Business 324 584 10 14 Married Skilled 821 New Car o 821 25 63 Single Skilled 723 Now Car 407 234 13 26 Single Unskilled Used Car 0 131 641 31 8 Divorced Management = Furniture 662 736 49 4 Divorced Skilled 524 New Car 708 682 13 33 Single Skilled 369 Repairs 206 0 28 116 Single Skilled Education 297 227 12,454 7 7 2 Divorced Skilled 206 131 Credit Risk Low High High High LOW Low Low Low High High High Low LOW High Low Low High Low Low High What can be concluded about the combined amount of money in checking and savir Print Print Done Use the accompanying Credit Risk Data to perform the activities in parts a through d below. Click the icon to view the Credit Risk Data. . - X and Savings [Round to the nearest cent as needed.) .) b. Apply Pareto analysis to draw conclusions about the combined amount of money in checking and savings accounts. Complete the Pareto analysis table below. (Type an integer or decimal rounded to two decimal places as needed.) Combined Checking % Credit Risk Data Customers 12,751 7,015 Months Months Marital 5,683 Loan Purpose Checking Savings Customer Employed Status Job 0 Small Appliance 723 13 12 3,508 Single Unskilled Furniture 0 1,236 25 O Divorced Skilled 2,902 New Car 0 389 19 119 Single Management 1,398 Furniture 626 341 13 14 Single Unskilled Education 967 4,716 40 45 1,390 Single Skilled Furniture 2,902 0 11 13 Married Skilled 1,236 New Car 0 227 13 16 Married Unskilled 978 Business 0 524 14 2 Single Unskilled Small Appliance 6,521 494 37 9 Single Skilled 974 Small Appliance 974 0 25 4 Divorced Skilled 967 Business 0 978 49 0 0 Single Management New Car 906 0 3,508 11 15 Single Unskilled = Business 324 584 10 14 Married Skilled 821 New Car o 821 25 63 Single Skilled 723 Now Car 407 234 13 26 Single Unskilled Used Car 0 131 641 31 8 Divorced Management = Furniture 662 736 49 4 Divorced Skilled 524 New Car 708 682 13 33 Single Skilled 369 Repairs 206 0 28 116 Single Skilled Education 297 227 12,454 7 7 2 Divorced Skilled 206 131 Credit Risk Low High High High LOW Low Low Low High High High Low LOW High Low Low High Low Low High What can be concluded about the combined amount of money in checking and savir Print Print Done
