Each problem should include:
A. picture of the empirical PDF
B. An educated guess (by you) of what distribution is being depicted
C. Additional work by you to estimate (guess) the most appropriate values of the parameters of the distribution you claimed in part B.
Use excel or MATLAB to:
a. Generate 1000 independent uniform (0,1) random variables. In Excel, use the rand() command in 1000 cells in the same column. In Matlab, the command x=rand(1,1000); will make x a column vector with 1000 U(0,1) random entries.
b. If you used Excel, freeze the generated values by copying them and then using "paste values".
c. Sort the numbers in increasing order.
d. Compute their consecutive differences (there should be 999 of these).
e. Generate a histogram as a proxy for an empirical PDF of these results.
f. Looking at the empirical PDF plot, you should be able to hypothesize the distribution of these data. Do so, and then try to bolster that with as much additional analysis as you can to determine the appropriate parameters.