Problem 1: (6 Points) Consider a state-of-the-art component with a Weibull distribution having shape parameter 1.5 and scale parameter 8000 (units in hours). The function to be performed by this component is contractually specified to have a 5000h reliability of 0.94. Thus, redundancy will have to be employed, say by putting components in parallel. Using MCS determine the least number of redundant components to be used in order to reach that reliability. Replicate 10,000 times and determine the number of required components (original + redundant parts), then determine the average reliability and plot a histogram of the resulting 10,000 reliability values.

Someone answer this asap rn for ! a discount store’s prices are 25% lower than department store prices. the function c(x) = 0.75x can be used to determine the cost c, in dollars, of an item, where x is the department store price, in dollars. if the item has not sold in one month, the discount store takes an additional 20% off the discounted price and an additional $5 off the total purchase. the function d(y) = 0.80y - 5 can be used to find d, the cost, in dollars, of an item that has not been sold for a month, where y is the discount store price, in dollars. create a function d(c(x)) that represents the final price of an item when a costumer buys an item that has been in the discount store for a month. d(c(x)) =