The annual rainfall in a certain region is modeled using the normal distribution shown below. The mean of the distribution is 36.5 cm and the standard deviation is 5.2 cm. In the figure, there are three missing values to fill in along the axis. The middle value is under the highest part of the curve. And, the left and right values are each the same distance away from the middle value. Use the empirical rule to choose the best value for the percentage of the area under the curve that is shaded, and fill in the missing values along the axis. Percentage of total area shaded: (Choose one) v 200 25 30 35 I 40 45 50 Rainfall (in cm)

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### Annual Rainfall Distribution in a Region

#### Overview
The annual rainfall in a certain region is modeled using the normal distribution, as depicted below. The mean of the distribution is 36.5 cm, and the standard deviation is 5.2 cm.

In the graphical representation, three values are missing along the axis. The middle value is under the highest part of the curve. The left and right values are each the same distance away from the middle value.

Use the empirical rule to determine the best value for the percentage of the area under the curve that is shaded, and fill in the missing values along the axis.

### Graph Analysis

**Graph Description:**
The graph shows a normal distribution curve (bell curve) representing the annual rainfall. The horizontal axis represents rainfall (in cm), and the vertical axis is not labeled but typically would represent frequency or probability density.

**Key Points on the Graph:**
- Mean (µ) = 36.5 cm (center of the bell curve).
- Standard Deviation (σ) = 5.2 cm.

**Missing Values:**
Three values need to be identified on the horizontal axis:
- The value under the highest part of the curve (mean value) is already given as 36.5 cm.
- The other two missing values are at equal distances to the left and right of the mean.

**Range Identification using Empirical Rule:**
The empirical rule (68-95-99.7 rule) helps understand where data falls in a normal distribution:
- About 68% of values fall within 1 standard deviation from the mean.
- About 95% of values fall within 2 standard deviations from the mean.
- About 99.7% of values fall within 3 standard deviations from the mean.

**Detailed Diagram Explanation:**
The diagram includes a shaded portion under the curve. The chosen percentage of the total area shaded needs to be determined from a dropdown list (suggesting options for 68%, 95%, or 99.7%).

**Predicting the Missing Values:**
Using the mean (36.5) and standard deviation (5.2):
- To get the values which are within 1 standard deviation:
  - Mean ± 1σ: 36.5 ± 5.2, resulting in approximately 31.3 cm to 41.7 cm.
- To get the values which are within 2 standard deviations:
  - Mean ± 2σ:
Transcribed Image Text:### Annual Rainfall Distribution in a Region #### Overview The annual rainfall in a certain region is modeled using the normal distribution, as depicted below. The mean of the distribution is 36.5 cm, and the standard deviation is 5.2 cm. In the graphical representation, three values are missing along the axis. The middle value is under the highest part of the curve. The left and right values are each the same distance away from the middle value. Use the empirical rule to determine the best value for the percentage of the area under the curve that is shaded, and fill in the missing values along the axis. ### Graph Analysis **Graph Description:** The graph shows a normal distribution curve (bell curve) representing the annual rainfall. The horizontal axis represents rainfall (in cm), and the vertical axis is not labeled but typically would represent frequency or probability density. **Key Points on the Graph:** - Mean (µ) = 36.5 cm (center of the bell curve). - Standard Deviation (σ) = 5.2 cm. **Missing Values:** Three values need to be identified on the horizontal axis: - The value under the highest part of the curve (mean value) is already given as 36.5 cm. - The other two missing values are at equal distances to the left and right of the mean. **Range Identification using Empirical Rule:** The empirical rule (68-95-99.7 rule) helps understand where data falls in a normal distribution: - About 68% of values fall within 1 standard deviation from the mean. - About 95% of values fall within 2 standard deviations from the mean. - About 99.7% of values fall within 3 standard deviations from the mean. **Detailed Diagram Explanation:** The diagram includes a shaded portion under the curve. The chosen percentage of the total area shaded needs to be determined from a dropdown list (suggesting options for 68%, 95%, or 99.7%). **Predicting the Missing Values:** Using the mean (36.5) and standard deviation (5.2): - To get the values which are within 1 standard deviation: - Mean ± 1σ: 36.5 ± 5.2, resulting in approximately 31.3 cm to 41.7 cm. - To get the values which are within 2 standard deviations: - Mean ± 2σ:
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