matlab question need help solving it

Use the randn function to generate vectors of normalised Gaussian noise (mean 0, variance 1) for 10, 100, 1000, and 10000 points. Use the histogram function to inspect the histogram of each vector. What happens as the number of points in the noisy data increases? Model the equation of a Gaussian function and plot it over the histogram. What can you conclude? Assume that on average 5 communications packets arrive at a computer every second. Using the poisspdf function determine the probability that 0 to 10 packets will arrive in any given one second interval. Plot these probabilities on an appropriately labelled graph. Is it possible to model fractional packet arrival using this methodology? Why or why not? Use the randn function to generate vectors of normalised Gaussian noise (mean 0, variance 1) for 10, 100, 1000, and 10000 points. Use the histogram function to inspect the histogram of each vector. What happens as the number of points in the noisy data increases? Model the equation of a Gaussian function and plot it over the histogram. What can you conclude? Assume that on average 5 communications packets arrive at a computer every second. Using the poisspdf function determine the probability that 0 to 10 packets will arrive in any given one second interval. Plot these probabilities on an appropriately labelled graph. Is it possible to model fractional packet arrival using this methodology? Why or why not