Monthly volatility (or standard deviation) of returns over this period. [Your work here should be identical to that in slides 8 and 9 from Live Session 5. The only difference is that the in-class example had 8 observations; here you have 48 monthly returns for Ford.] Extremely often, a question of this type is unclear as to whether the given data are (1) presumed to be the entire population of data for which you're interested in doing calculations or (b) presumed to be a sample of data from an unobservable parent population of data for which you're interested in doing calculations. So, let's practice both! [The firs calculation is covered in slides 8 and 9 from Live Session 5. See slide 10 for the second calculation.] i. If we are being tasked with calculating the volatility of this series of 48 monthly returns as an entire population of returns, then the equation for variance is the Sum of Squared Deviations / N. After calculating variance, standard deviation is simply the square root. Using this presumption, the volatility of the monthly returns is%. (Round to two decimal places.) ii. If we are being tasked with calculating the volatility of a presumed, unobservable larger population of Ford Motor Co. returns based on this series of 48 monthly returns being a sample, then the equation for variance is the Sum of Square Deviations/(N-1). After calculating variance, standard deviation is simply the square root. Using this presumption, the volatility of the monthly returns is %. (Round to two decimal places.)