a. What is the distribution of X? XU( b. Suppose that the computer randomly picks 37 such numbers. What is the distribution of a for this selection of numbers. - N( c. What is the probability that the average of 37 numbers will be less than 8.9?
a. What is the distribution of X? XU( b. Suppose that the computer randomly picks 37 such numbers. What is the distribution of a for this selection of numbers. - N( c. What is the probability that the average of 37 numbers will be less than 8.9?
MATLAB: An Introduction with Applications
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
Transcribed Image Text:**Random Number Selection and Distribution Analysis**
In this exercise, we investigate the distribution and probabilities concerning a computer that selects a number \( X \) from the interval 4 to 12 randomly and uniformly. All answers should be rounded to four decimal places where required.
1. **Distribution of \( X \)**
a. **Question:** What is the distribution of \( X \)?
**Answer:** \( X \sim U(\_\_\_\_, \_\_\_\_) \)
In this part, \( X \) follows a uniform distribution over the range 4 to 12.
2. **Distribution of Sample Mean \( \bar{X} \)**
b. **Question:** Suppose that the computer randomly picks 37 such numbers. What is the distribution of \( \bar{X} \) for this selection of numbers?
**Answer:** \( \bar{X} \sim N(\_\_\_\_, \_\_\_\_) \)
Given 37 selections, \( \bar{X} \) will follow a normal distribution due to the Central Limit Theorem. The parameters need to be calculated based on the given range.
3. **Probability Calculation**
c. **Question:** What is the probability that the average of 37 numbers will be less than 8.9?
This involves calculating the probability that \( \bar{X} \) is less than 8.9, based on the normal distribution parameters derived in part b.
Each step requires careful consideration of statistical principles, including uniform and normal distributions, as well as the Central Limit Theorem.
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