The probability of rolling a 3 or 2 on a single die is an example of mutually exclusive events.

Question 1 options:

1) True

2) False

Question 2(1 point)

To apply the special rule of addition, the events must be mutually exclusive.

Question 2 options:

1) True

2) False

Question 3(1 point)

A joint probability measures the likelihood that two or more events will happen concurrently.

Question 3 options:

1) True

2) False

Question 4(1 point)

The joint probability of two independent events, A and B, is computed as P(A and B) = P(A) P(B).

Question 4 options:

1) True

2) False

Question 5(1 point)

The joint probability of two events, A and B, that are not independent is computed as P(A and B) = P(A) P(B|A).

Question 5 options:

1) True

2) False

Question 6(1 point)

A coin is tossed four times. The joint probability that all four tosses will result in a head is or 0.25.

Question 6 options:

1) True

2) False

Question 7(1 point)

If there are "m" ways of doing one thing, and "n" ways of doing another thing, the multiplication formula states that there are (m) (n) ways of doing both.

Question 7 options:

1) True

2) False

Question 8(1 point)

The complement rule states that the probability of an event not occurring is equal to one minus the probability of its occurrence.

Question 8 options:

1) True

2) False

Question 9(1 point)

If two events are mutually exclusive, then P(A and B) = P(A)P(B).

Question 9 options:

1) True

2) False

Question 10(1 point)

An illustration of an experiment is turning the ignition key of an automobile as it comes off the assembly line to determine whether or not the engine will start.