Frontier Oil Co, Continental Resources, ExxonMobil and Plains All American can all be considered to fall within the "Oil Industry" but to be a little more helpful, one should decide on which component of the oil industry to focus on i.e refiners, drilling/exploration/production, pipeline/transportation/marketing, or fully integrated oil companies. The above examples would fall into these more specific classes of oil companies as follows: Pure Play Refiner: Frontier Oil Company Pure Play Driller/Producer: Continental Resources Pure Play Tranporter/Pipeliner : Plains All American Pure Play fully integrated oil company: ExxonMobil
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British Petroleum is a corporation, so no one person owns it. It does have a president, a chairman and a board of directors who make the critical decisions for the company. The corporation issues stock, and the owners of the stock have some control as they must approve the nominated leaders of the corporation.
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ExxonMobil Procter & Gamble
The population of ExxonMobil is 83,600.
The population of ExxonMobil is 2,010.
if P(A)>0 then P(B'|A)=1-P(B|A) so P(A intersect B')=P(A)P(B'|A)=P(A)[1-P(B|A)] =P(A)[1-P(B)] =P(A)P(B') the definition of independent events is if P(A intersect B')=P(A)P(B') that is the proof
ExxonMobil is a parent company to ExxonMobil Exploration Company, ExxonMobil Development Company, ExxonMobil Production Company, and many other companies.
Sum Rule: P(A) = \sum_{B} P(A,B) Product Rule: P(A , B) = P(A) P(B|A) or P(A, B)=P(B) P(A|B) [P(A|B) means probability of A given that B has occurred] P(A, B) = P(A) P(B) , if A and B are independent events.
ExxonMobil Building was created in 1963.
ExxonMobil was created on 1999-11-30.
P(A|B)= P(A n B) / P(B) P(A n B) = probability of both A and B happening to check for independence you see if P(A|B) = P(B)
If they're disjoint events: P(A and B) = P(A) + P(B) Generally: P(A and B) = P(A) + P(B) - P(A|B)
Let's try this example (best conceived of as a squared 2x2 table with sums to the side). The comma here is an AND logical operator. P(A, B) = 0.1 P(A, non-B) = 0.4 P(non-A, B) = 0.3 P(non-A, non-B) = 0.2 then P(A) and P(B) are obtained by summing on the different sides of the table: P(A) = P(A, B) + P(A, non-B) = 0.1 + 0.4 = 0.5 P(B) = P(A,B) + P(non-A, B) = 0.1 + 0.3 = 0.4 so P(A given B) = P (A, B) / P (B) = 0.1 / 0.4 = 0.25 also written P(A|B) P(B given A) = P (A,B) / P (A) = 0.1 / 0.5 = 0.2 The difference comes from the different negated events added to form the whole P(A) and P(B). If P(A, non-B) = P (B, non-A) then P(A) = P(B) and also P(A|B) = P(B|A).
The ExxonMobil Beaumont refinery was built in 1903.