Find the area of the shaded region. The graph to the right depicts IQ scores of adults, and those scores are normally distributed with a mean of 100 and a standard deviation of 15. 98 The area of the shaded region is 0.5530. (Round to four decimal places as needed.)

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Title: Understanding the Area under the Normal Distribution Curve

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**Find the area of the shaded region.**

The graph to the right depicts IQ scores of adults, and those scores are normally distributed with a mean of 100 and a standard deviation of 15.

**Description of the Graph:**
- The graph is a bell-shaped normal distribution curve.
- The x-axis represents IQ scores.
- The highlighted section is the area under the curve from the mean (100) to the point marked as 98.
- The bell curve is symmetrical and peaks at the mean (100).

**Calculation:**
- The area of the shaded region is calculated to be 0.5530. (This figure is rounded to four decimal places.)

**Interactive Element:**
- "Question is complete. Tap on the red indicators to see incorrect answers."

By recognizing how areas under the curve correlate with probabilities in normal distributions, we gain insights into the statistical behaviors and expectations of IQ scores within a given population.
Transcribed Image Text:Title: Understanding the Area under the Normal Distribution Curve --- **Find the area of the shaded region.** The graph to the right depicts IQ scores of adults, and those scores are normally distributed with a mean of 100 and a standard deviation of 15. **Description of the Graph:** - The graph is a bell-shaped normal distribution curve. - The x-axis represents IQ scores. - The highlighted section is the area under the curve from the mean (100) to the point marked as 98. - The bell curve is symmetrical and peaks at the mean (100). **Calculation:** - The area of the shaded region is calculated to be 0.5530. (This figure is rounded to four decimal places.) **Interactive Element:** - "Question is complete. Tap on the red indicators to see incorrect answers." By recognizing how areas under the curve correlate with probabilities in normal distributions, we gain insights into the statistical behaviors and expectations of IQ scores within a given population.
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