A First Course in Probability (10th Edition)
A First Course in Probability (10th Edition)
10th Edition
ISBN: 9780134753119
Author: Sheldon Ross
Publisher: PEARSON
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Problem #21

**Topic: Continuous Uniform Distribution**

Suppose \( X \) has a continuous uniform distribution over the interval \([2.2, 5.0]\).

Round your answers to 3 decimal places.

**Questions:**

(a) Determine the mean of \( X \).
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[Input Box for Answer]
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*[Information icon]*

(b) Determine the variance of \( X \).
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[Input Box for Answer]
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*[Information icon]*

(c) What is \( P(X < 4.0) \)?
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[Input Box for Answer]
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*[Information icon]*

**Explanation of Input Boxes:**

- Next to each question, there is a text box where you can input your answer. 
- The information icons indicate that additional help or hints are available if you click on them.

**Additional Guidance:**

- For calculating the mean and the variance of a continuous uniform distribution, use the standard formulas for a uniform distribution over the interval \([a, b]\):
  - Mean: \( \mu = \frac{a + b}{2} \)
  - Variance: \( \sigma^2 = \frac{(b - a)^2}{12} \)
- To find the probability \( P(X < 4.0) \) for a uniform distribution, use the cumulative distribution function (CDF) formula for the uniform distribution.
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Transcribed Image Text:**Topic: Continuous Uniform Distribution** Suppose \( X \) has a continuous uniform distribution over the interval \([2.2, 5.0]\). Round your answers to 3 decimal places. **Questions:** (a) Determine the mean of \( X \). ``` [Input Box for Answer] ``` *[Information icon]* (b) Determine the variance of \( X \). ``` [Input Box for Answer] ``` *[Information icon]* (c) What is \( P(X < 4.0) \)? ``` [Input Box for Answer] ``` *[Information icon]* **Explanation of Input Boxes:** - Next to each question, there is a text box where you can input your answer. - The information icons indicate that additional help or hints are available if you click on them. **Additional Guidance:** - For calculating the mean and the variance of a continuous uniform distribution, use the standard formulas for a uniform distribution over the interval \([a, b]\): - Mean: \( \mu = \frac{a + b}{2} \) - Variance: \( \sigma^2 = \frac{(b - a)^2}{12} \) - To find the probability \( P(X < 4.0) \) for a uniform distribution, use the cumulative distribution function (CDF) formula for the uniform distribution.
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