Normal Distribution Functions Norm.dist(x, mean, stdev, c) - calculates the normal distribution for a given value of x, where mean and stdev are the descriptive statistics of the variable in question. Generally, the c argument will always be set to 1, as that calculates the cumulative probability up to the value x. Norm.inv(p, mean, stdev) - calculates the inverse normal distribution. Specifically, given a probability p, it will return the corresponding value of x in the distribution described by mean and stdev. Standard Normal Distribution Functions = x- - Standardize(x, mean, stdev) - returns the standard normal value z for a given value of x with a distribution described by mean and stdev. Recall that z Norm.s.dist(z) - calculates the standard normal distribution for a given value of z. The mean and stdev arguments are not needed, as they are 0 and 1, respectively. Norm.s.inv(p) - calculates the inverse standard normal distribution. Specifically, it returns a value for z, corresponding to a given probability p. 1 1/1 point 2 3 4 5a FRESHMAN 15. If 1 male college student is randomly selected, find the probability that he has no weight gain during his freshman year. 0.405 1/1 point 5b, If 25 male college students are randomly selected, find the probability that their mean weight gain during their freshman year is less than or equal to 0 kg. 0.1112 1/1 point 6a. If 1 male college student is randomly selected, find the probability that he gains at least 2.0 kg during his freshman year. 0.436 1/1 point 6b. If 16 male college students are randomly selected, find the probability that their mean weight gain during their freshman year is at least 2.0 kg. 0.258