B1. Consider the following data sets x= [2,3,4,5,6} and y= [6,5,4,3,2] B1-1 (1p) Calculate ox and ox B1-2 (3p) What is the Pearson coefficient for x (the notation used in class xx_p) B1-3 (3p) Calculate ryx_p B1-4 (3p) Write a Python script using the Python function for calculating B1-1, B1-2 and B1-3 B2. Consider x= [1,6,3,2] and y[n] = B2.-1 (4p) Perform step by step calculation for the cross correlation, showing the sequence shifting at each step. B2-2 (3p) This time calculate cross correlation using the table method. B2-3 (2p) Write the Python script that performs the cross correlation of the sequences B3-4 (1p) Include the Python plots ate B2-3 a) with scaling and b) without scaling. B3. (5p) s(x) = sin(x) 3 cos(x), find a and such that s(x) = acos(x + p) B4. Consider the signal s(t)= Pa (t) B4.-1 (2.5p) Draw the signal pa(t - 4a) B4.-2 (2.5p) Draw the signal pa(t + 5a) 5 "