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If \(A, B,\) and \(C\) are mutually exclusive events, is it possible for \(P(A)=0.3, P(B)=0.4,\) and \(P(C)=0.5 ?\) Why or why not?

Short Answer

Expert verified
No, because the sum exceeds 1, violating probability rules.

Step by step solution

01

Understand Mutually Exclusive Events

Mutually exclusive events are events that cannot occur simultaneously. This means that if one event occurs, the others cannot.
02

Recall the Probability Rule for Mutually Exclusive Events

For mutually exclusive events, the probability of their union is the sum of their probabilities. Mathematically, if events A, B, and C are mutually exclusive, then \(P(A \cup B \cup C) = P(A) + P(B) + P(C)\).
03

Calculate the Expected Total Probability

Add the probabilities of the events: \(P(A) + P(B) + P(C) = 0.3 + 0.4 + 0.5 = 1.2\).
04

Validate with Probability Limitations

Probabilities are always between 0 and 1, inclusive. If the sum of probabilities exceeds 1, it contradicts the basic properties of probability.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Mutually Exclusive Events
Events are considered mutually exclusive when they cannot happen at the same time. Imagine you have a coin and are flipping it. Getting heads and tails in one flip is impossible. This is a great example of mutually exclusive events. In probability theory, when one event like heads occurs, the event called tails cannot.
Mutually exclusive events simplify the calculation of probabilities. Instead of worrying about overlapping possibilities, you calculate the probabilities separately and add them together. It's important to understand this concept because it forms the basis for sudden intuitive leaps that make problems easier to solve.
Probability Rule
In probability theory, rules are your best friend for understanding how likely events are. A crucial rule for mutually exclusive events states that the total probability of any number of these events occurring is the sum of their individual probabilities.
Mathematically, this is written as:
  • If events \(A, B,\) and \(C\) are mutually exclusive, then \(P(A \cup B \cup C) = P(A) + P(B) + P(C)\).
It means that for events that can't happen simultaneously, calculating their combined likelihood is straightforward—just add their probabilities. This rule simplifies the computation and prevents mistakes, helping to ensure that probabilities don't accidentally overlap or exceed logical boundaries.
Probability Limitations
Understanding the limits of probability is key to getting accurate results in your calculations. Probability values must always lie within the interval from 0 to 1, inclusive. This means no event can have a probability less than 0 or greater than 1.
These limits can be thought of as the 'boundary fence' of probability. They ensure that we stay within the realm of what is mathematically and logically achievable. For example, you can't have more than 100% chance that something happens.
In the original exercise, adding up the probabilities of mutually exclusive events \(A, B,\) and \(C\) led to 1.2. This violates the probability limitations because it exceeds 1, indicating a mistake had been made in the assumptions or calculations. Staying informed about these boundaries prevents misinterpretations and helps verify the correctness of your solution.

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