Create 20 random numbers from a binomial distribution of 500 trials and the p-value of 0.4. Draw a distribution graph of these numbers. How does the distribution look like? Is the central limit theorem held true in this case? Why or why not? Now, increase the sample size to 100 and repeat the same process. Is the central limit theorem held true in this case? Why or why not? Explain using evidence (Excel formulas used and graph).