Answer:
Yes, sales have increased as a result of the advertising campaign.
Explanation:
Find attached the explanation.
Note: I had to convert the explanation into both jpeg and files (both contains the same answer) when the answer box kept on rejecting my answer claiming it contains swear words when it does not.
Answer:
The answer is explained below
Explanation:
The companies board of directors as well as you would consider whether it is best to install the scubber system. When determining whether to install the scubber system both short and long term consequences are to be considered. If presently, the level of pollution is legal, you need to consider if in the future it would be legal? if the installation of the scubber system would affect the public relations of the company. After considering all this, it would be better to install because the pollution can lead to death, and the neighborhood can sue the company. Also the EPA regulations can be regulated.
Answer:
E) 1920
Explanation:
The computation of the maximum items in process is shown below:
= Number of maximum target cycle time × normal processing rate per minute × number of minutes in one hour
= 16 hours × 2 × 60 minutes
= 1,920
Simple we multiply the all items which are given in the question, so that the accurate value can come i.e maximum target cycle time, normal processing rate per minute and the number of minutes in one hour
Answer:
4) recorded as a reduction of the cost of the land.
Explanation:
When you are calculating the cost of any land purchased, you must start with the purchase price and add all the expenditures necessary for getting the land ready, e.g. legal fees, taxes, real estate commissions, land grading, clearing the trees, etc., and subtract any revenue obtained, e.g. from the sale of salvaged materials or timber.
total cost of land = purchase price + (fees, commissions, grading, clearance expenses, taxes, etc.) - revenue (salvaged materials, scrap, timber, etc.)
Answer:
The answer is NO. The experimental results did not support the claim that less than 0.2 percent of the company's batteries would fail during the advertised time period.
Explanation:
From the illustration, for 15 batteries to fail out of 5000 batteries that means a 0.3 percent failure. Hypothetically, since there has been a claim that about 0.2 per cent will fail and we now have a confirmed failure rate of 15 in 5000 or 0.3 per cent rate, then we can infer that the hypothesis of 0.2 percent may be incorrect after all since it is still less than the confirmed rate of 0.3 per cent failure. Thus, since 0.3 rate is higher than 0.2 rate, then the hypothesis is wrong by a margin of 0.1 percent.
