The discrete random variable X is the number of passengers waiting at a bus stop. The table below shows the probability distribution for X. What is the expected value EX) for this distribution? 2 Total P(X) .40 .30 . 20 .10 1.00 Multiple Choice 1.3 1.7 1.9

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The discrete random variable \( X \) is the number of passengers waiting at a bus stop. The table below shows the probability distribution for \( X \). What is the expected value \( E(X) \) for this distribution?

| \( X \) | 0  | 1  | 2  | 3  | Total |
|---------|----|----|----|----|-------|
| \( P(X) \) | 0.40 | 0.30 | 0.20 | 0.10 | 1.00  |

**Multiple Choice:**

- ○ 11
- ○ 1.3
- ○ 1.7
- ○ 1.9

Explanation: 

The table represents a probability distribution where:
- \( X \) represents the number of passengers.
- \( P(X) \) represents the probability of each number of passengers occurring.

To find the expected value \( E(X) \), calculate the sum of the products of each value of \( X \) and its corresponding probability \( P(X) \).
Transcribed Image Text:The discrete random variable \( X \) is the number of passengers waiting at a bus stop. The table below shows the probability distribution for \( X \). What is the expected value \( E(X) \) for this distribution? | \( X \) | 0 | 1 | 2 | 3 | Total | |---------|----|----|----|----|-------| | \( P(X) \) | 0.40 | 0.30 | 0.20 | 0.10 | 1.00 | **Multiple Choice:** - ○ 11 - ○ 1.3 - ○ 1.7 - ○ 1.9 Explanation: The table represents a probability distribution where: - \( X \) represents the number of passengers. - \( P(X) \) represents the probability of each number of passengers occurring. To find the expected value \( E(X) \), calculate the sum of the products of each value of \( X \) and its corresponding probability \( P(X) \).
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