TASK 2: (20-25 min) Your field team is going to collect additional data 3 days after...

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TASK 2: (20-25 min) Your field team is going to collect additional data 3 days after the last day of previously recorded data. Prompt the user to enter the ice thickness data for this day, for all locations. Additionally, on this day a new location was found and recorded. Prompt the user to enter the new location ID and the ice data for the new location on this day. Update the Days vector with the new day, the Location ID string array with the new location, and the Ice matrix with the newly recorded data. Fill in the last column of the Ice matrix with average ice data value for each day. Save the three updated variables as MA2_Task2.mat. On the command window, output the new location ID and the average ice thickness of the new day. NOTE (avoid hardcoding): Your code should produce different results if the data in Ice changes or if the size of Ice changes (rows or columns). The final lengths of LocationID or Days should change if their starting lengths change. TASK 3: (20-25 min) Using the updated data from Task 2, determine the number of locations and total number of measurements taken. Output these two values to the command window. Determine the average ice thickness for each location and the maximum ice thickness measured for each day. Output to the command window: The location with the highest average ice thickness The maximum overall ice thickness measurement with the associated location and day The overall average ice thickness NOTE (avoid hardcoding): Your code should produce different results if Ice changes. The day and location ID should be indexed from the Days and LocationID variables based on the position of the value found in the Ice matrix. TASK 2: (20-25 min) Your field team is going to collect additional data 3 days after the last day of previously recorded data. Prompt the user to enter the ice thickness data for this day, for all locations. Additionally, on this day a new location was found and recorded. Prompt the user to enter the new location ID and the ice data for the new location on this day. Update the Days vector with the new day, the Location ID string array with the new location, and the Ice matrix with the newly recorded data. Fill in the last column of the Ice matrix with average ice data value for each day. Save the three updated variables as MA2_Task2.mat. On the command window, output the new location ID and the average ice thickness of the new day. NOTE (avoid hardcoding): Your code should produce different results if the data in Ice changes or if the size of Ice changes (rows or columns). The final lengths of LocationID or Days should change if their starting lengths change. TASK 3: (20-25 min) Using the updated data from Task 2, determine the number of locations and total number of measurements taken. Output these two values to the command window. Determine the average ice thickness for each location and the maximum ice thickness measured for each day. Output to the command window: The location with the highest average ice thickness The maximum overall ice thickness measurement with the associated location and day The overall average ice thickness NOTE (avoid hardcoding): Your code should produce different results if Ice changes. The day and location ID should be indexed from the Days and LocationID variables based on the position of the value found in the Ice matrix.