suppose that 15% of the families in a certain community have no car, 20% have 1 car, 35% have 2, and 30% have 3. Suppose, furt hat in each family, each car is equally likely (independently) to be a foreign or a domestic car. Let F be the number of foreign cars nd D the number of domestic cars in a family. he random variable denoting the number of cars in a family and the random variable denoting the number of foreign cars are Eelect one: а. mutually exclusive so one has to use the union rule for mutually exclusive events to calculate the joint probability tha F=1 and D=1.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Suppose that 15% of the families in a certain community have no car, 20% have 1 car, 35% have 2, and 30% have 3. Suppose, further,
that in each family, each car is equally likely (independently) to be a foreign or a domestic car. Let F be the number of foreign cars
and D the number of domestic cars in a family.
The random variable denoting the number of cars in a family and the random variable denoting the number of foreign cars are
Select one:
a.
mutually exclusive so one has to use the union rule for mutually exclusive events to calculate the joint probability that
F=1 and D=1.
independent, so one has to use the product rule for independent events to calculate the joint probability that F=1 and
D=1
O C.
dependent, so one has to use the general product rule to calculate the joint probability that F=1 and D=1
O d.
partitioned, so one has to use Axiom 3 to calculate the joint probability that F=1 and D=1
Transcribed Image Text:Suppose that 15% of the families in a certain community have no car, 20% have 1 car, 35% have 2, and 30% have 3. Suppose, further, that in each family, each car is equally likely (independently) to be a foreign or a domestic car. Let F be the number of foreign cars and D the number of domestic cars in a family. The random variable denoting the number of cars in a family and the random variable denoting the number of foreign cars are Select one: a. mutually exclusive so one has to use the union rule for mutually exclusive events to calculate the joint probability that F=1 and D=1. independent, so one has to use the product rule for independent events to calculate the joint probability that F=1 and D=1 O C. dependent, so one has to use the general product rule to calculate the joint probability that F=1 and D=1 O d. partitioned, so one has to use Axiom 3 to calculate the joint probability that F=1 and D=1
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