Suppose that Demand is normally distributed with a mean of 600 and a standard deviation of 80 . Match the following calculations to the correct Excel formulas for this Demand distribution. Find the probability that Demand is greater than or equal to 700. Find the value such that Demand is less than or equal to this value with 95% probability. Find the probability that Demand is less than or equal to 700. =NORM.INV(600,80,700)=NORM.DIST(700,600,80,TRUE)=NORM.DIST(600,700,80,TRUE)=NORM.DIST(700,600,80,FALSE)=1NORM.DIST(700,600,80,TRUE)=NORM.INV(700,600,80)=NORM.DIST(0.95,600,80,TRUE)=NORM.INV(0.95,600,80)=NORM.INV(0.95,700,80) Throughout our course we use the Normal Distribution to represent uncertainty in operations and supply chain decision-making. - We commonly assume that continuous random variables follow a Normal Distribution. - We also also apply the Normal Distribution in statistical inference and estimation. Given a continuous random variable that follow a Normal Distribution with a known mean and standard deviation - call it Y - there are two primary calculations you may be asked to perform using the Normal Distribution. Type 1 Calculations: Use NORM.DIST() to find a probability associated with a given value. - Find the probability that Y is less than or equal to X - P(YX)= 1-NORM.DIST (x, mean, std_deviation, TRUE) - Find the probability that Y is between X1 and X2. - P(x1