Answer: B. Quality function deployment
Explanation:
Quality function deployment is a very useful process to the manufacturing, healthcare and service industry that was introduced in the 1960s in Japan. It refers to the process of converting the needs and requirements of customers for a good generated by market research to actionable plans and specification that engineers can then use to create the product in question and thus satisfy the need of the customer.
Answer:
Option (A) is correct.
Explanation:
Given that,
Implicit costs per week = $200,000
Average explicit cost per banana = $0.25 per banana
Per week bananas sold = 1 million
Explicit cost = Average explicit cost per banana × No. of banana sold
= $0.25 × 1,000,000
= $250,000
Total revenue = No. of banana sold × Selling price of each banana
= 1,000,000 × $0.50
= $500,000
Accounting profit = Total revenue - Explicit cost
= $500,000 - $250,000
= $250,000
Economic profit:
= Total revenue - Explicit cost - Implicit costs
= $500,000 - $250,000 - $200,000
= $50,000
Answer:
True
Explanation:
Consumer price index measures the changes in price level of a basket of goods.
If consumer price index falls if means price level has fallen , goods become cheaper and the same amount of money can buy more quantities of goods and services.
Conversely if consumer price index rises, price level has increased, goods and services become more expensive and more amount of money would be needed to maintain the same level of consumption.
CPI is calculated as cost of basket of goods in a given year / cost of basket of goods in a base year
I hope my answer helps you
Answer:
(a) 
(b) 
(c) X=4.975 percent
Explanation:
(a) Find the z-value that corresponds to 5.40 percent
.
Hence the net interest margin of 5.40 percent is 2.5 standard deviation above the mean.
The area to the left of 2.5 from the standard normal distribution table is 0.9938.The probability that a randomly selected U.S. bank will have a net interest margin that exceeds 5.40 percent is 1-0.9938=0.0062
(b) The z-value that corresponds to 4.40 percent is 
The net interest margin of 4.40 percent is 0.5 standard deviation above the mean.
Using the normal distribution table, the area under the curve to the left of 0.5 is 0.6915
Therefore the probability that a randomly selected U.S. bank will have a net interest margin less than 4.40 percent is 0.6915
(c) The z-value that corresponds to 95% which is 1.65
We substitute the 1.65 into the formula and solve for X.
A bank that wants its net interest margin to be less than the net interest margins of 95 percent of all U.S. banks should set its net interest margin to 4.975 percent.
