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Last year, the average salary increase for poultry research assistants was 2.5%. Of the 10,000 poultry research assistants, 2,000 received raises in excess of this amount. The odds that a randomly selected poultry research assistant received a salary increase in excess of 2.5% are:
A)
20%.
B)
1 to 5.
C)
1 to 4.



For event “E,” the probability stated as odds is: P(E) / [1 – P(E)]. Here, the probability that a poultry research assistant received a salary increase in excess of 2.5% = 2,000 / 10,000 = 0.20, or 1/5 and the odds are (1/5) / [1 – (1/5)] = 1/4, or 1 to 4.

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Each lottery ticket discloses the odds of winning. These odds are based on:
A)
a priori probability.
B)
past lottery history.
C)
the best estimate of the Department of Gaming.



An a priori probability is based on formal reasoning rather than on historical results or subjective opinion.

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Which of the following is an a priori probability?
A)
On a random draw, the probability of choosing a stock of a particular industry from the S&P 500.
B)
For a stock, based on prior patterns of up and down days, the probability of the stock having a down day tomorrow.
C)
The probability the Fed will lower interest rates prior to the end of the year.



A priori probability is based on formal reasoning and inspection. Given the number of stocks in the airline industry in the S&P500 for example, the a priori probability of selecting an airline stock would be that number divided by 500.

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In any given year, the chance of a good year is 40%, an average year is 35%, and the chance of a bad year is 25%. What is the probability of having two good years in a row?
A)
10.00%.
B)
16.00%.
C)
8.75%.



The joint probability of independent events is obtained by multiplying the probabilities of the individual events together: (0.40) × (0.40) = 0.16 or 16%.

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If event A and event B cannot occur simultaneously, then events A and B are said to be:
A)
mutually exclusive.
B)
statistically independent.
C)
collectively exhaustive.



If two events cannot occur together, the events are mutually exclusive. A good example is a coin flip: heads AND tails cannot occur on the same flip.

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Which of the following statements about probability is most accurate?
A)
An outcome is the calculated probability of an event.
B)
A conditional probability is the probability that two or more events will happen concurrently.
C)
An event is a set of one or more possible values of a random variable.



Conditional probability is the probability of one event happening given that another event has happened. An outcome is the numerical result associated with a random variable.

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If two events are mutually exclusive, the probability that they both will occur at the same time is:
A)
0.50.
B)
0.00.
C)
Cannot be determined from the information given.



If two events are mutually exclusive, it is not possible to occur at the same time.  Therefore, the P(A∩B) = 0.

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For a stock, which of the following is least likely a random variable? Its:
A)
current ratio.
B)
most recent closing price.
C)
stock symbol.



A random variable must be a number. Sometimes there is an obvious method for assigning a number, such as when the random variable is a number itself, like a P/E ratio. A stock symbol of a randomly selected stock could have a number assigned to it like the number of letters in the symbol. The symbol itself cannot be a random variable.

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