Assume that the normal distribution of the data has a mean of 16 and a standard deviation of 2. Use the 68-95-99.7 rule to find the percentage of values that lie above 18. What percentage of value lie above 18? (Type an integer or a decimal)
Assume that the normal distribution of the data has a mean of 16 and a standard deviation of 2. Use the 68-95-99.7 rule to find the percentage of values that lie above 18. What percentage of value lie above 18? (Type an integer or a decimal)
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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Assume that the normal distribution of the data has a mean of 16 and a standard deviation of 2. Use the 68-95-99.7 rule to find the percentage of values that lie above 18.
What percentage of value lie above 18?
(Type an integer or a decimal)

Transcribed Image Text:**Section 14.4 - The Normal Distribution**
The normal distribution (normal curve) is a way to study data using the information you have learned about. A normal distribution is a bell-shaped curve that is symmetric with respect to the mean. A normal distribution usually applies to a whole population, not a sample, therefore the mean is now called \( \mu \) (mu).
**Diagram Description:**
The image includes a bell-shaped curve representing the normal distribution. Below is a detailed explanation of the graph:
1. **Axes and Distribution:**
- The horizontal axis (x-axis) represents the value of data points (often standardized scores such as z-scores).
- The vertical axis (y-axis) represents the probability density or frequency of occurrences.
2. **Mean and Standard Deviations:**
- The mean \( \mu \) is located at the center of the curve.
- The distribution extends symmetrically to the left and right from the mean.
- Each standard deviation (\( \sigma \)) is marked at regular intervals on either side of the mean.
3. **Areas Under the Curve:**
- The diagram is divided into sections based on standard deviations:
- Between \( \mu \) and \( \mu + 1\sigma \) (to the right) and \( \mu - 1\sigma \) (to the left) covers 34% of the data each.
- Between \( \mu + 1\sigma \) and \( \mu + 2\sigma \) (to the right) and \( \mu - 1\sigma \) and \( \mu - 2\sigma \) (to the left) covers 13.5% of the data each.
- Between \( \mu + 2\sigma \) and \( \mu + 3\sigma \) (to the right) and \( \mu - 2\sigma \) and \( \mu - 3\sigma \) (to the left) covers 2.35% of the data each.
- Beyond \( \mu + 3\sigma \) (to the right) and \( \mu - 3\sigma \) (to the left) covers 0.15% of the data each.
4. **Annotations:**
- There are handwritten notes indicating specific values along the x-axis corresponding to the standard deviations:
- \
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