Question

When to know when you should use inclusive probability and when to use exclusive probability?

a) Inclusive probability includes all possible outcomes, while exclusive probability excludes certain outcomes.
b) Inclusive probability considers only specific outcomes, while exclusive probability considers all possible outcomes.
c) Inclusive probability is used for mutually exclusive events, while exclusive probability is used for dependent events.
d) Inclusive probability and exclusive probability are the same in their application and usage.

Answer 1

Inclusive probability includes all possible outcomes, while exclusive probability excludes certain outcomes. Inclusive probability is used for mutually exclusive events, while exclusive probability is used for dependent events.

Step-by-step explanation:

Inclusive probability includes all possible outcomes, while exclusive probability excludes certain outcomes. For example, if you roll a fair six-sided die, the inclusive probability of rolling an odd number would include the outcomes 1, 3, and 5. The exclusive probability of rolling an odd number would exclude the outcome 1, as it is not part of the set of odd numbers.

Inclusive probability is used for mutually exclusive events, where the occurrence of one event does not affect the probability of the other event. For example, the probability of drawing a red marble from a bag of red and blue marbles would be an inclusive probability.

On the other hand, exclusive probability is used for dependent events, where the occurrence of one event affects the probability of the other event. For example, the probability of drawing a red marble from a bag of marbles, without replacement, after already drawing a red marble would be an exclusive probability.