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What is meant by the joint probability of two or more events? Give one example.

Short Answer

Expert verified
Joint probability is the likelihood of two events occurring simultaneously. For example, the joint probability of rolling a 3 on the first die and a 4 on the second die, when rolling two dice, is \( \frac{1}{36} \) or approximately 0.0278.

Step by step solution

01

Defining Joint Probability

Joint probability is the statistical term indicating the likelihood of two events occurring simultaneously. In simpler terms, it measures the probability of both event A and event B occurring at the same time.
02

Example of Joint Probability

For example, consider the rolling of two dice. Each die has six faces, each face equating to an outcome. The total possible outcomes when rolling two dice is \(6 \times 6 = 36\). If we want to find the joint probability of rolling a 3 on the first die (event A) and a 4 on the second die (event B), we need to realize that there is only one outcome that satisfies both A and B, which is rolling a 3 on the first die and a 4 on the second. So, the joint probability is \( \frac{1}{36} \), or approximately 0.0278.

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