I need help with a computer science assignment.

With an input file, mpn_input containing these values:

0-1-0 12 7 23 0-2-1 13 9 33 1-0-0 13 7 30 1-0-1 15 5 32 1-1-1 11 2 21 1-0-2 17 5 35 1-1-2 15 8 36 1-1-0 15 9 33 2-0-0 17 6 35 2-1-0 20 9 45 2-1-1 17 2 33 2-0-2 15 5 27 2-2-0 25 11 50 2-2-1 20 8 39 3-0-1 22 11 41 3-0-2 18 8 26 3-1-2 19 3 25 3-3-2 32 15 53 4-1-0 20 9 45 4-2-0 22 9 56 4-2-1 26 12 65 4-3-0 28 13 77 4-3-1 30 15 78 4-4-0 40 20 86 5-0-0 30 22 110 5-0-1 50 20 140 5-0-2 55 22 150 5-1-0 60 30 180 5-1-1 50 20 170 5-1-2 70 30 210 5-2-0 75 35 220 5-2-1 90 40 250 5-2-2 80 30 250 5-3-0 110 40 300 5-3-1 130 42 330 5-3-2 140 60 360

The output should look like this:

The purpose of this assignment is to have you work on an array of structures and File IO. The input data must be read programmatically using File LO. User has to be prompted to enter the input data file name. Scenario Microbiologists estimating the number of bacteria in a sample that contains bacteria that do not grow well on solid media may use a statistical technique called the most probable number (MPN) method. Each of five tubes of nutrient medium receives 10 ml of the sample. A second set of five tubes receives 1 ml of sample per tube, and in each of a third set of five tubes, only 0.1 ml of sample is placed. Each tube in which bacterial growth is observed is recorded as a positive, and the numbers for the three groups are combined to create a triplet such as 5-2-1, which means that all five tubes receiving 10 ml of sample show bacterial growth, only two tubes in the 1-ml group show growth, and only one of the 0.1-ml group is positive. A microbiologist would use this combination-of-positive triplet as an index to a table like the one below to determine that the most probable number of bacteria per 100 ml of the sample is 70, and 95 percent of the samples yielding this triplet contain between 30 and 210 bacteria per 100 ml Table of Bacterial Concentrations for Most Probable Number Method Combination of Positives MPN Index/100 ml 95 percent Confidence Limits Upper 56 65 4-2-0 4-2-1 4-3-D 4-3-1 26 12 12 15 27 34 110 140 120 150 180 170 210 250 250 5-0-1 30 5-0-2 10 50 20 5-2-0 5-2-1 5-2-2 5-3-0 5-3-1 5-3-2 50 70 90 110 140 360 Problem Define a structure type to represent one row of the MPN table. The structure will include one string component for the c associated most probable mumber and the lower and upper bounds of the 95 percent confidence range. f-positives triplet and three integer components in which to store the The purpose of this assignment is to have you work on an array of structures and File IO. The input data must be read programmatically using File LO. User has to be prompted to enter the input data file name. Scenario Microbiologists estimating the number of bacteria in a sample that contains bacteria that do not grow well on solid media may use a statistical technique called the most probable number (MPN) method. Each of five tubes of nutrient medium receives 10 ml of the sample. A second set of five tubes receives 1 ml of sample per tube, and in each of a third set of five tubes, only 0.1 ml of sample is placed. Each tube in which bacterial growth is observed is recorded as a positive, and the numbers for the three groups are combined to create a triplet such as 5-2-1, which means that all five tubes receiving 10 ml of sample show bacterial growth, only two tubes in the 1-ml group show growth, and only one of the 0.1-ml group is positive. A microbiologist would use this combination-of-positive triplet as an index to a table like the one below to determine that the most probable number of bacteria per 100 ml of the sample is 70, and 95 percent of the samples yielding this triplet contain between 30 and 210 bacteria per 100 ml Table of Bacterial Concentrations for Most Probable Number Method Combination of Positives MPN Index/100 ml 95 percent Confidence Limits Upper 56 65 4-2-0 4-2-1 4-3-D 4-3-1 26 12 12 15 27 34 110 140 120 150 180 170 210 250 250 5-0-1 30 5-0-2 10 50 20 5-2-0 5-2-1 5-2-2 5-3-0 5-3-1 5-3-2 50 70 90 110 140 360 Problem Define a structure type to represent one row of the MPN table. The structure will include one string component for the c associated most probable mumber and the lower and upper bounds of the 95 percent confidence range. f-positives triplet and three integer components in which to store the