Test scores are normally distributed with a mean of 500. Convert the given score to a z-score, using the given standard deviation. Then find the percentage of students who score below 680, if the standard deviation is 120. Click the icon to view a table of z-scores and percentiles. A. 93.32% B. 56.68% OC. 6.68% D. 120% www.
Test scores are normally distributed with a mean of 500. Convert the given score to a z-score, using the given standard deviation. Then find the percentage of students who score below 680, if the standard deviation is 120. Click the icon to view a table of z-scores and percentiles. A. 93.32% B. 56.68% OC. 6.68% D. 120% www.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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
Transcribed Image Text:**Problem Statement:**
Test scores are normally distributed with a mean of 500. Convert the given score to a z-score, using the given standard deviation. Then find the percentage of students who score below 680, if the standard deviation is 120.
**Instructions:**
Click the icon to view a table of z-scores and percentiles.
**Options:**
A. 93.32%
B. 56.68%
C. 6.68%
D. 120%

Transcribed Image Text:**Table of z-Scores and Percentiles**
This table provides a reference for z-scores and their corresponding percentiles, which are critical for statistical analysis and understanding distributions within data sets.
| z-Score | Percentile | z-Score | Percentile | z-Score | Percentile |
|---------|------------|---------|------------|---------|------------|
| -4.0 | 0.003 | -1.0 | 15.87 | 0.0 | 50.00 |
| -3.5 | 0.02 | -0.95 | 17.11 | 0.05 | 51.99 |
| -3.0 | 0.13 | -0.90 | 18.41 | 0.10 | 53.98 |
| -2.9 | 0.19 | -0.85 | 19.77 | 0.15 | 55.96 |
| -2.8 | 0.26 | -0.80 | 21.19 | 0.20 | 57.93 |
| -2.7 | 0.35 | -0.75 | 22.66 | 0.25 | 59.87 |
| -2.6 | 0.47 | -0.70 | 24.20 | 0.30 | 61.79 |
| -2.5 | 0.62 | -0.65 | 25.78 | 0.35 | 63.68 |
| -2.4 | 0.82 | -0.60 | 27.43 | 0.40 | 65.54 |
| -2.3 | 1.07 | -0.55 | 29.12 | 0.45 | 67.36 |
| -2.2 | 1.39 | -0.50 | 30.85 | 0.50 | 69.15 |
| -2.1 | 1.79 | -0.45 |
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