You are given a array of 100 × 10000 floating point values representing data collected in a series of bake-offs making up the final exam at the Nella School for the Culinary Arts. As with all grading...

You are given a array of 100 × 10000 floating point values representing data collected in a series of bake-offs making up the final exam at the Nella School for the Culinary Arts. As with all grading systems, this data must be massaged (normalized) prior to actually assigning grades. For each of the 100 students (whose data is in a row of 10,000 values), the following operations must be performed: INS (initial normalized score) The average of the squares of all data values in a given row that are greater than zero but less than 100. FNS (final normalized score) The value computed for this student’s INS, compared to all other students’ INS scores. The students whose INS scores are in the top 10 percent overall get an FNS of 4.0; those in the next 20 percent get an FNS of 3.0; those in the next 30 percent get an FNS of 2.0; those in the next 20 percent get an FNS of 1.0; the rest get an FNS of 0.0 and have to enter the bake-off again next year as a result. Your program is to print out the FNS scores two ways: 1. A list of FNS scores, by student (row number, FNS) for all students 2. A list of students, by FNS (FNS, list of all rows [students] with this FNS) for all FNS values