Suppose that the amount of time that students spend studying in the library in one sitting is normally distributed with mean 40 minutes and standard deviation 21 minutes. A researcher observed 48 students who entered the library to study. Round all answers to 4 decimal places where possible. a. What is the distribution of X X- N( b. What is the distribution of a? a- N( c. What is the distribution of x? x - N

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The text discusses a statistical analysis involving study times of students in a library. Here’s the transcription and description:

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### Educational Exercise: Analyzing Study Times

**Scenario:**
The study times of students in the library during one sitting are normally distributed with a mean of 40 minutes and a standard deviation of 21 minutes. A researcher observes 48 students entering the library. All answers should be rounded to four decimal places where possible.

**Questions:**

a. What is the distribution of \( X \)?
   - \( X \sim N(40, 21) \)

b. What is the distribution of \( \bar{x} \)?
   - \( \bar{x} \sim N(40, \frac{21}{\sqrt{48}}) \)

c. What is the distribution of \( \sum x \)?
   - \( \sum x \sim N(1920, 147) \)

d. If one randomly selected student is timed, find the probability that this student’s time will be between 35 and 37 minutes.
   - Answer in the box provided

e. For the 48 students, find the probability that their average time studying is between 35 and 37 minutes.
   - Answer in the box provided

f. Find the probability that the randomly selected 48 students will have a total study time more than 2064 minutes.
   - Answer in the box provided

g. Is the assumption of normalcy necessary for parts e) and f)?
   - Yes / No (circle the correct answer)

h. The top 15% of the total study time for groups of 48 students will receive a sticker that says “Great dedication.” Determine the least time required to receive a sticker.
   - Answer in the box provided

**Hints:**
- Utilize these helpful video resources to guide you through the problem:
  - Finding the Sampling Distribution
  - Finding a Probability Using the Central Limit Theorem
  - Finding Value Given a Probability Using the Central Limit Theorem
  - The Central Limit Theorem for Sums

Make sure to watch these videos for a comprehensive understanding and successful completion of the exercise. Once finished, submit your answers using the 'Submit Question' button.

--- 

This educational resource is designed to deepen understanding of the Central Limit Theorem and probability distributions.
Transcribed Image Text:The text discusses a statistical analysis involving study times of students in a library. Here’s the transcription and description: --- ### Educational Exercise: Analyzing Study Times **Scenario:** The study times of students in the library during one sitting are normally distributed with a mean of 40 minutes and a standard deviation of 21 minutes. A researcher observes 48 students entering the library. All answers should be rounded to four decimal places where possible. **Questions:** a. What is the distribution of \( X \)? - \( X \sim N(40, 21) \) b. What is the distribution of \( \bar{x} \)? - \( \bar{x} \sim N(40, \frac{21}{\sqrt{48}}) \) c. What is the distribution of \( \sum x \)? - \( \sum x \sim N(1920, 147) \) d. If one randomly selected student is timed, find the probability that this student’s time will be between 35 and 37 minutes. - Answer in the box provided e. For the 48 students, find the probability that their average time studying is between 35 and 37 minutes. - Answer in the box provided f. Find the probability that the randomly selected 48 students will have a total study time more than 2064 minutes. - Answer in the box provided g. Is the assumption of normalcy necessary for parts e) and f)? - Yes / No (circle the correct answer) h. The top 15% of the total study time for groups of 48 students will receive a sticker that says “Great dedication.” Determine the least time required to receive a sticker. - Answer in the box provided **Hints:** - Utilize these helpful video resources to guide you through the problem: - Finding the Sampling Distribution - Finding a Probability Using the Central Limit Theorem - Finding Value Given a Probability Using the Central Limit Theorem - The Central Limit Theorem for Sums Make sure to watch these videos for a comprehensive understanding and successful completion of the exercise. Once finished, submit your answers using the 'Submit Question' button. --- This educational resource is designed to deepen understanding of the Central Limit Theorem and probability distributions.
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