1: Compute and plot the discrete distribution for a Binomially distributed random variable n where the number of trials N=10 and p=0.7. The MATLAB function nchoosek.m is helpful.

2: In a for loop run M times, perform 10 Bernoulli trials sum to get the number of successes for each set of 10 trials. When done, use the MATLAB hist.m function to plot the tabulated sums with 11 bins specified to hist.m for binning the the numbers 0 to 10. You should normalize the histogram so that it sums to one, i.e., divide by M. Do this for M=10, 100, and 1000000, plot and compare.