0.35 metric tons (mt) of crude oil will cost $112 if 0.90 mt cost $288.
Crude oil and other hydrocarbons can be found in liquid or gaseous form in tar or oil sands, small cavities within sedimentary rocks, and underground pools or reservoirs.
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What are crude oil and its uses?</h3>
Natural petroleum products like crude oil are made up of deposits of hydrocarbons and other organic elements. Crude oil, a sort of fossil fuel, is refined to create useful products like gasoline, diesel, and numerous other petrochemicals.
Given,
Crude oil = 0.9 (mt) cost is $288.
Required to Find Cost of Crude 0.35 (mt) =?
Find Cost of Crude (0.35 mt) = $288 multiply by 0.35 and divide by 0.9.
Find Cost of Crude (0.35 mt) = $288 x 0.35/0.9
Cost of Crude (0.35 mt) = $112
Thus, Crude oil will cost $112 for 0.35 metric tons (mt).
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Answer:
A. cost-plus regulation
Explanation:
When a local regulator calculates the average cost of production for the public water utility or any other service and allow an adjustment for the normal rate of profit the firm should expect to earn, and then set the price that consumers can be charged accordingly, this is known as cost-plus regulation.
It is usually carried out by the government.
Answer:
B) $23,000.
Explanation:
ABC's accumulated net income (or retained earnings) over the past four years = $8,000 + $5,000 + $12,000 + $10,000 = $35,000
ABC's accumulated dividends paid over the past four years = $3,000 x 4 = $12,000
Since dividends are paid using money that proceeds from retained earnings, the balance of the retained earnings account = accumulated retained earnings - accumulated dividends = $35,000 - $12,000 = $23,000
Answer:
Creating a data warehouse
Explanation:
Customer relationship management or CRM aims at creating and maintaining good customer relationships, providing better customer satisfaction so as to increase sales.
CRM focuses upon providing good customer support and customer feedback.
The primary step, in Customer Relationship management is creating a data warehouse. Data warehouse refers to a database from where extraction of customer details gets convenient.
Such database can be used for data analysis and reveals customer habits and past purchase trends.