Suppose that scores on a particular test are normally distributed with a mean of 140 and a standard deviation of 16. What is the minimum score needed to be in the top 2% of the scores on the test? Carry your intermediate computations to at least four decimal places, and round your answer to one decimal place.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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**Transcription for Educational Website**

*Problem Statement:*

Suppose that scores on a particular test are normally distributed with a mean of 140 and a standard deviation of 16. What is the minimum score needed to be in the top 2% of the scores on the test? Carry your intermediate computations to at least four decimal places, and round your answer to one decimal place.

*Explanation:* 

To find the minimum score needed to be in the top 2%:
1. Determine the z-score that corresponds to the top 2% of a normal distribution.
2. Use the z-score formula: 

   \[
   z = \frac{(X - \mu)}{\sigma}
   \]

   where \(X\) is the score, \(\mu\) is the mean, and \(\sigma\) is the standard deviation.
3. Rearrange the formula to solve for \(X\):

   \[
   X = z\sigma + \mu
   \]

4. Use statistical tables or software to find the z-score for the top 2% and calculate \(X\).

*Interactive Elements:*

- **Input Box:** For entering the calculated score.
- **Buttons:**
  - **X:** Clears the input box.
  - **Circular Arrow:** Resets the problem.
  - **Question Mark:** Provides a hint or additional help.
Transcribed Image Text:**Transcription for Educational Website** *Problem Statement:* Suppose that scores on a particular test are normally distributed with a mean of 140 and a standard deviation of 16. What is the minimum score needed to be in the top 2% of the scores on the test? Carry your intermediate computations to at least four decimal places, and round your answer to one decimal place. *Explanation:* To find the minimum score needed to be in the top 2%: 1. Determine the z-score that corresponds to the top 2% of a normal distribution. 2. Use the z-score formula: \[ z = \frac{(X - \mu)}{\sigma} \] where \(X\) is the score, \(\mu\) is the mean, and \(\sigma\) is the standard deviation. 3. Rearrange the formula to solve for \(X\): \[ X = z\sigma + \mu \] 4. Use statistical tables or software to find the z-score for the top 2% and calculate \(X\). *Interactive Elements:* - **Input Box:** For entering the calculated score. - **Buttons:** - **X:** Clears the input box. - **Circular Arrow:** Resets the problem. - **Question Mark:** Provides a hint or additional help.
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