Use your newly found knowledge to explain credit card disclosure statements to someone who has never received one. Write a one to two paragraph explanation that teaches how to read a credit card disclosure statement. Include a minimum of four of the terms from lesson 4.08 in your explanation

Walmart’s scm system walmart is famous for its low prices, and you may have experienced its low prices first-hand. at least, you have probably seen its motto, “always low prices— always.” one of the biggest reasons walmart is able to sell at prices lower than almost everyone else is that it has a superefficient supply chain. its it-enabled supply chain management system is the envy of the industry because it drives excess time and unnecessary costs out of the supply chain. so, because walmart can buy low, it sells low. as a matter of fact, if your company wants to sell items to walmart for it to sell in its stores, you will have to do business with it electronically. if your company can’t do that, walmart won’t buy anything from you. log on to walmart’s web site (), search for supplier information, and find out what walmart’s requirements are for its suppliers to do business with it electronically. prepare a brief summary of its requirements for presentation in clas

"in my opinion, we ought to stop making our own drums and accept that outside supplier's offer," said wim niewindt, managing director of antilles refining, n. v., of aruba. "at a price of $21 per drum, we would be paying $4.70 less than it costs us to manufacture the drums in our own plant. since we use 70,000 drums a year, that would be an annual cost savings of $329,000." antilles refining's current cost to manufacture one drum is given below (based on 70,000 drums per year):

An important application of regression analysis in accounting is in the estimation of cost. by collecting data on volume and cost and using the least squares method to develop an estimated regression equation relating volume and cost, an accountant can estimate the cost associated with a particular manufacturing volume. consider the following sample of production volumes and total cost data for a manufacturing operation. production volume (units) total cost ($) 400 4000 450 5000 550 5400 600 5900 700 6400 750 7000 compute b 1 and b 0 (to 2 decimals if necessary). b 1 b 0 complete the estimated regression equation (to 2 decimals if necessary). = + x what is the variable cost per unit produced (to 1 decimal)? $ compute the coefficient of determination (to 4 decimals). note: report r 2 between 0 and 1. r 2 = what percentage of the variation in total cost can be explained by the production volume (to 2 decimals)? % the company's production schedule shows 500 units must be produced next month. what is the estimated total cost for this operation (to 2 decimals)? $