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)

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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)
**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:
     - \
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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