Ranking for corruption in the following nations Introduction: The ranking of countries is done based on the corruption levels in them. The rankings are given every year on the basis of many factors. These corruption indexes are calculated by the help of expert assessments and opinion surveys. There are no direct ways to measure corruption. Hence, the corruption index is calculated from different assessments made by different institutions and surveys. The countries are scored from 100 (very clean) to 0 (Highly Corrupt). If the scores are from 0 – 49, they are more corrupt. If they are scored from 50 – 100, they are less corrupt.

Question

Want to see the full answer?

Answer 1

Question

Chapter 2, Problem 2P

Summary Introduction

To determine: Ranking for corruption in the following nations

Introduction:

The ranking of countries is done based on the corruption levels in them. The rankings are given every year on the basis of many factors. These corruption indexes are calculated by the help of expert assessments and opinion surveys.

There are no direct ways to measure corruption. Hence, the corruption index is calculated from different assessments made by different institutions and surveys. The countries are scored from 100 (very clean) to 0 (Highly Corrupt). If the scores are from 0 – 49, they are more corrupt. If they are scored from 50 – 100, they are less corrupt.

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Students have asked these similar questions

In addition to the Amazon case study you provided, I'm curious if you've encountered other examples of companies successfully applying Little's Law to enhance their supply chain risk management practices. For instance, have you seen organizations use queuing theory to assess the potential ripple effects of disruptions, stress-test their contingency plans, or identify critical control points that require heightened monitoring and agility? Please provide a reference

Sam's Pet Hotel operates 48 weeks per year, 6 days per week, and uses a continuous review inventory system. It purchases kitty litter for $13.00 per bag The following information is available about these bags: > Demand 85 bags/week >Order cost $60.00/order > Annual holding cost = 35 percent of cost > Desired cycle-service level 80 percent > Lead time = 4 weeks (24 working days) > Standard deviation of weekly demand = 15 bags > Current on-hand inventory is 320 bags, with no open orders or backorders. a. Suppose that the weekly demand forecast of 85 bags is incorrect and actual demand averages only 65 bags per week. How much higher will total costs be, owing to the distorted EOQ caused by this forecast error? The costs will be $higher owing to the error in EOQ. (Enter your response rounded to two decimal places.)

Osprey Sports stocks everything that a musky fisherman could want in the Great North Woods. A particular musky lure has been very popular with local fishermen as well as those who buy lures on the Internet from Osprey Sports. The cost to place orders with the supplier is $3030/order; the demand averages 55 lures per day, with a standard deviation of 11 lure; and the inventory holding cost is $1.001.00/lure/year. The lead time form the supplier is 1010 days, with a standard deviation of 33 days. It is important to maintain a 9898 percent cycle-service level to properly balance service with inventory holding costs. Osprey Sports is open 350 days a year to allow the owners the opportunity to fish for muskies during the prime season. The owners want to use a continuous review inventory system for this item. Refer to the standard normal table LOADING... for z-values. Part 2 a. What order quantity should be used? enter your response here lures. (Enter your response rounded to the…