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mrs_skeptik [129]
3 years ago
6

A survey of magazine subscribers showed that 45.2% rented a car during the past 12 months for business reasons, 56% rented a car

during the past 12 months for personal reasons, and 32% rented a car during the past 12 months for both business and personal reasons. (a) What is the probability that a subscriber rented a car during the past 12 months for business or personal reasons? (b) What is the probability that a subscriber did not rent a car during the past 12 months for either business or personal rea
Mathematics
1 answer:
IgorLugansk [536]3 years ago
3 0

Answer:

a. 0.692 or 69.2%; b. 0.308 or 30.8%.

Step-by-step explanation:

This is the case of <em>the probability of the sum of two events</em>, which is defined by the formula:

\\ P(A \cup B) = P(A) + P(B) - P(A \cap B) (1)

Where \\ P(A \cup B) represents the probability of the union of both events, that is, the probability of event A <em>plus</em> the probability of event B.

On the other hand, \\ P(A \cap B) represents the probability that both events happen at once or the probability of event A times the probability of event B (if both events are independent).

<em>Notice the negative symbol for the last probability</em>. The reason behind it is that we have to subtract those common results from event A and event B to avoid count them twice when calculating \\ P(A \cup B).

We have to remember that a <em>sample space</em> (sometimes denoted as <em>S</em>)<em> </em>is the set of the all possible results for a random experiment.

<h3>Calculation of the probabilities</h3>

From the question, we have two events:

Event A: <em>event</em> <em>subscribers rented a car</em> during the past 12 months for <em>business reasons</em>.

Event B: <em>event subscribers rented a car</em> during the past 12 months for <em>personal reasons</em>.

\\ P(A) = 45.2\%\;or\;0.452

\\ P(B) = 56\%\;or\;0.56

\\ P(A \cap B) = 32\%\;or\;0.32

With all this information, we can proceed as follows in the next lines.

The probability that a subscriber rented a car during the past 12 months for business <em>or</em> personal reasons.

We have to use here the formula (1) because of the sum of two probabilities, one for event A and the other for event B.

Then

\\ P(A \cup B) = P(A) + P(B) - P(A \cap B)

\\ P(A \cup B) = 0.452 + 0.56 - 0.32

\\ P(A \cup B) = 0.692\;or\;69.2\%

Thus, <em>the</em> <em>probability that a subscriber rented a car during the past 12 months for business or personal reasons</em> is 0.692 or 69.2%.

The probability that a subscriber <em>did not </em>rent a car during the past 12 months for either business <em>or</em> personal reasons.

As we can notice, this is the probability for <em>the complement event that a subscriber did not rent a car during the past 12 months</em>, that is, the probability of the events that remain in the <em>sample space. </em>In this way, the sum of the probability for the event that a subscriber <em>rented a car</em> <em>plus</em> the event that a subscriber <em>did not rent</em> a car equals 1, or mathematically:

\\ P(\overline{A \cup B}) + P(A \cup B)= 1

\\ P(\overline{A \cup B}) = 1 - P(A \cup B)

\\ P(\overline{A \cup B}) = 1 - 0.692

\\ P(\overline{A \cup B}) = 0.308\;or\;30.8\%

As a result, the requested probability for <em>a subscriber that did not rent a car during the past 12 months for either business or personal reasons is </em>0.308 or 30.8%.

We can also find the same result if we determine the complement for each probability in formula (1), or:

\\ P(\overline{A}) = 1 - P(A) = 1 - 0.452 = 0.548

\\ P(\overline{B}) = 1 - P(B) = 1 - 0.56 = 0.44

\\ P(\overline{A \cup B}) = 1 - P(A \cup B) = 1 - 0.32 = 0.68

Then

\\ P(\overline{A \cup B}) = P(\overline{A}) + P(\overline{B}) - P(\overline{A\cap B})

\\ P(\overline{A \cup B}) = 0.548 + 0.44 - 0.68

\\ P(\overline{A \cup B}) = 0.308

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