Probability of Normally Distributed Weights

Problem Statement

Probability of Normally Distributed Weights Problem Description The paperweights produced at a factory have weights that are normally distributed with mean M grams and variance V (so the standard deviation is sqrt(V) grams). What is the probability that a randomly chosen paperweight weighs strictly more than W grams? Implement the function calculate_probability(M, V, W) , which returns this probability. The provided code reads the input and prints the value you return, rounded to two decimal places. Input Format Read from standard input. M V W Line 1 contains M , the mean weight (a real number). Line 2 contains V , the variance of the weight (a real number). Line 3 contains W , the given weight (a real number). Each value is written either as an integer or as a decimal with at most 4 digits after the decimal point (for example 46 , 19.5 , 0.0004 ). Output Format Print the probability P(weight > W) with exactly two digits after the decimal point , rounded to the nearest hundredth (fo