22. Seattle, Washington, averages µ = 34 inches of annual μ precipitation. Assuming that the distribution of precipi- tation amounts is approximately normal with a stan- dard deviation of o= 6.5 inches, determine whether each of the following represents a fairly typical year, an extremely wet year, or an extremely dry year. a. Annual precipitation of 41.8 inches b. Annual precipitation of 49.6 inches c. Annual precipitation of 28.0 inches

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**Problem Statement:**

Seattle, Washington, averages \( \mu = 34 \) inches of annual precipitation. Assuming that the distribution of precipitation amounts is approximately normal with a standard deviation of \( \sigma = 6.5 \) inches, determine whether each of the following represents a fairly typical year, an extremely wet year, or an extremely dry year.

a. Annual precipitation of 41.8 inches  
b. Annual precipitation of 49.6 inches  
c. Annual precipitation of 28.0 inches  

**Analysis:**

This exercise requires understanding of a normal distribution where:

- The mean (\( \mu \)) is 34 inches.
- The standard deviation (\( \sigma \)) is 6.5 inches.

To classify the years, we can calculate the z-scores for each amount of precipitation and determine their position relative to the mean.

1. **Z-score Calculation:**

   \[
   Z = \frac{X - \mu}{\sigma}
   \]

   - For 41.8 inches:  
     \[
     Z = \frac{41.8 - 34}{6.5}
     \]

   - For 49.6 inches:  
     \[
     Z = \frac{49.6 - 34}{6.5}
     \]

   - For 28.0 inches:  
     \[
     Z = \frac{28.0 - 34}{6.5}
     \]

2. **Interpretation:**

   - A typical year falls within one standard deviation from the mean.
   - An extremely wet year is significantly above the mean (greater than two standard deviations).
   - An extremely dry year is significantly below the mean (greater than two standard deviations in the negative direction).

By calculating these values, you can classify each year accordingly.
Transcribed Image Text:**Problem Statement:** Seattle, Washington, averages \( \mu = 34 \) inches of annual precipitation. Assuming that the distribution of precipitation amounts is approximately normal with a standard deviation of \( \sigma = 6.5 \) inches, determine whether each of the following represents a fairly typical year, an extremely wet year, or an extremely dry year. a. Annual precipitation of 41.8 inches b. Annual precipitation of 49.6 inches c. Annual precipitation of 28.0 inches **Analysis:** This exercise requires understanding of a normal distribution where: - The mean (\( \mu \)) is 34 inches. - The standard deviation (\( \sigma \)) is 6.5 inches. To classify the years, we can calculate the z-scores for each amount of precipitation and determine their position relative to the mean. 1. **Z-score Calculation:** \[ Z = \frac{X - \mu}{\sigma} \] - For 41.8 inches: \[ Z = \frac{41.8 - 34}{6.5} \] - For 49.6 inches: \[ Z = \frac{49.6 - 34}{6.5} \] - For 28.0 inches: \[ Z = \frac{28.0 - 34}{6.5} \] 2. **Interpretation:** - A typical year falls within one standard deviation from the mean. - An extremely wet year is significantly above the mean (greater than two standard deviations). - An extremely dry year is significantly below the mean (greater than two standard deviations in the negative direction). By calculating these values, you can classify each year accordingly.
Expert Solution
Step 1: Mentioning the given data

Population mean, straight mu equals 34

Population standard deviation, straight sigma equals 6.5

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