write a MATLAB script using the provided template:

%% disp(' ');

disp('*****problem2*****');

load temp_data.mat

%For convenience, you may want to extract each column of the data matrix into a separate %vector; it's not strictly necessary, but it makes the syntax simpler %Here's a model of how to comment each part and display the results

%problem 2a - avg. daily temp anomaly, 1880 - 1948 prob2a = 0; %complete this line disp(['Avg temp anomaly 1880 - 1948 : ', num2str(prob2a)])

%If using the checker use these variable names for subsequent parts prob2b = 0;

prob2c = 0;

prob2d = 0;

%part e %checker looks for max temp anomaly and the year, month & day where it occurs prob2e_T = 0; %temp anomaly value prob2e_year = 0; prob2e_month = 0; prob2e_day = 0;

prob2f = 0;

%part g - check looks for row number (index) prob2g = 0;

prob2h = 0;

%part i - checker doesn't check this part, since you know that the answer %is 0

%part j - checker doesn't check this part, since the problem contains %verification instructions

The provided data file contains daily average global temperature from 1800 through 2018. The 2. data are organized as follows: Column Value Year (1880 2019) Month (1 12) 2 Day of month (1 31) 3 Temp. anomaly (C) 4 "Temperature anomaly" just means the difference between the actual temperature and a specified reference level for each day of the year. Load in the data file using the command: load temp data.mat This will create a matrix called temp data in the workspace. Use logical array operations, built-in functions, and array indexing in your script to answer the following questions about the data: What was the average daily temperature anomaly for the years 1880 1948? a. b. What was the average daily temperature anomaly for the years 1950 2018? On how many days in 1880 1948 was the temperature anomaly positive? On how many days in 1950 2018 was the temperature anomaly positive? C. d. What was the date (month, day, and year) on which the highest-ever temperature e. anomaly occurred? f. What is the difference between the highest-ever and lowest-ever temperature anomalies? What was the date the last time the temperature anomaly was negative? g. h. How many days was the temperature anomaly in 2018 greater than the temperature anomaly on the corresponding date in 1978? i. HYPOTHETICAL SCENARIO #1: Some errors occurred during data collection for 1949, so that some of the elements of column 4 of the matrix do not contain valid numerical values. Instead, the value of those elements is NaN which means, "not a number". Using the function isnan (), replace all of the NaNs with Os. To verify that this worked, calculate sum (isnan (temp data), 'all'),which should evaluate to 0. HINT: applying isnan() to an array works as in the following example: >> isnan([1 2 3 NaN 4 79 NaN 12 18 NaN 4 -3]) ans = 1x13 logical array 0 0 0 1 0 0 0 1 0 0 1 0 0 j. HYPOTHETICAL SCENARIO #2: Suppose a systematic error was discovered the data collection method, such that the temperature anomaly was overestimated by 0.1 C in the month of March for the year 2010. Create a new matrix identical to the first, except that the 4th column is corrected by subtracting 0.1 from all of the March 2010 data. To verify that this worked correctly, calculate the sum of the temperature anomalies for March 2010 before and after making the correction. The difference should be 3.1