Probability of Normally Distributed Weights

Problem Statement

Problem Description Suppose paperweights produced at a factory have weights that are normally distributed with a mean of M grams and a variance of V grams. Write a Python function calculate_probability(M, V, W) that calculates the probability that a randomly chosen paperweight weighs strictly more than W grams. Hint: You may use standard libraries such as statistics , math , or scipy.stats to compute the exact mathematical probability. Alternatively, you can run a Monte Carlo simulation with a sufficiently large sample size (e.g., 1,000,000) using numpy to approximate the probability, though an exact mathematical calculation is preferred. Input The function takes three arguments: M (float): The mean of the normal distribution. V (float): The variance of the normal distribution. W (float): The target weight threshold. Output Return a float representing the calculated probability, rounded to exactly two decimal places. Constraints 0.0 ≤ M, W ≤ 10000.0 0.0 < V ≤ 10000.0 Exampl