Answer:
Article 2 of the UCC(Uniform Commercial Code).
Explanation:
UCC is said to be an acronym which stands for the Uniform Commercial Code; this is seen also to govern many different forms of contract interactions. Article 2 in most cases are seen to cover common issues ranging from
i). Goods definition of i.e any tangible item that can be moved.
ii). Situations involving missing terms in a contract, such as a missing quantity, price etc.
iii) Contract modifications and lastly
iv). Exchanges of consideration for items of value.
Alot of research has shown in most cases that article 2 is a popularly cited provision in this body of statutes, since it governs contracts for the sale of goods between merchants or between a merchant and a non-merchant.
Answer:
c) 10% more peanut butter on the shelves
Explanation:
Since peanut butter has a negative income elasticity of demand (-0.5) with a decrease in income, there should be an increase in the demand. This is usually true for cheaper goods or goods with low added value. The change in demand (D) is represented as follows:
As a result, you should stock 10% more peanut butter on the shelves.
The answer is c).
Answer:
The correct answer is letter "C": propitious niche.
Explanation:
Companies develop strategies to set the steps necessary to accomplish an objective. One of those steps involves finding the firm's propitious niche which is no more than its target market. It determines what the company should do based on the best competitive advantage the firm will have in that market that will differentiate the company from competitors and will help the firm to establish in the market.
The correct answer is - allows managers to use the normal distribution as the basis for building some control charts.
<u>Explanation:</u>
It is the theorem that allows inference from a random sample. It says that:
• The sample mean will likely be towards the population mean within a margin of error
• The margin of error is a multiple of the standard error, which is the standard deviation divided by the square root of the sample size. The multiple is determined by the degree of statistical confidence you’re looking for, and the normal deviate corresponding to that — 1.65 for 90% confidence, 1.96 for 95% confidence, etc.
Answer:
Explanation:
For computing the demand for each sale, first we have to compute the average sale for each season which is show below:
Average sale in fall = (240 + 260) ÷ 2 = 250
Average sale in winter = (340 + 300) ÷ 2 = 320
Average sale in spring = (140 + 160) ÷ 2 = 150
Average sale in summer = (320 + 240) ÷ 2 = 280
Demand for next fall = (250 ÷ 1,000) × 1,200 = 300
Demand for next winter = (320 ÷ 1,000) × 1,200 = 384
Demand for next spring = (150 ÷ 1,000) × 1,200 = 180
Demand for next summer = 1,200 - (300+384+180) = 336
