3. There are 8,000 students at the University of Tennessee at Chattanooga. The average age of all the students is 24 years with a standard deviation of 9 years. A random sample of 36 students is selected. What is the probability that the sample mean will be between 25.5 and 27 years? .1359 .2222 .3703

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## Educational Exercise

### Problem Statement

At the University of Tennessee at Chattanooga, there are 8,000 students. The average age of all the students is 24 years with a standard deviation of 9 years. A random sample of 36 students is selected. What is the probability that the sample mean will be between 25.5 and 27 years?

### Options

- ○ 0
- ○ 0.1359
- ○ 0.2222
- ○ 0.3703

### Explanation

This problem involves calculating the probability that the sample mean falls within a certain range, assuming a normal distribution. The Central Limit Theorem can be used here, which states that the sampling distribution of the sample mean will be approximately normally distributed if the sample size is large enough.

The specifics of how to calculate this probability involve using the sample size, the standard deviation, and the average. It typically requires finding the z-scores for the given range and using the standard normal distribution table to find the probabilities.
Transcribed Image Text:## Educational Exercise ### Problem Statement At the University of Tennessee at Chattanooga, there are 8,000 students. The average age of all the students is 24 years with a standard deviation of 9 years. A random sample of 36 students is selected. What is the probability that the sample mean will be between 25.5 and 27 years? ### Options - ○ 0 - ○ 0.1359 - ○ 0.2222 - ○ 0.3703 ### Explanation This problem involves calculating the probability that the sample mean falls within a certain range, assuming a normal distribution. The Central Limit Theorem can be used here, which states that the sampling distribution of the sample mean will be approximately normally distributed if the sample size is large enough. The specifics of how to calculate this probability involve using the sample size, the standard deviation, and the average. It typically requires finding the z-scores for the given range and using the standard normal distribution table to find the probabilities.
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