An article suggests the lognormal distribution as a model for \( SO_2 \) concentration above a certain forest. Suppose the parameter values are \( \mu = 1.7 \) and \( \sigma = 1.1 \). --- ### (a) What are the mean value and standard deviation of concentration? **(Round your answers to three decimal places.)** - **Mean**: \( 10.024 \) ✔ - **Standard deviation**: \( 15.378 \) ✔ --- ### (b) What is the probability that concentration is at most 10? Between 5 and 10? **(Round your answers to four decimal places.)** - **At most 10**: \( 0.7088 \) ✔ - **Between 5 and 10**: \( 0.4655 \) ✘ --- You may need to use the appropriate table in the [Appendix of Tables](#) to answer this question.

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An article suggests the lognormal distribution as a model for \( SO_2 \) concentration above a certain forest. Suppose the parameter values are \( \mu = 1.7 \) and \( \sigma = 1.1 \).

---

### (a) What are the mean value and standard deviation of concentration? 
**(Round your answers to three decimal places.)**

- **Mean**:  
  \( 10.024 \) ✔
  
- **Standard deviation**:  
  \( 15.378 \) ✔

---

### (b) What is the probability that concentration is at most 10? Between 5 and 10? 
**(Round your answers to four decimal places.)**

- **At most 10**:  
  \( 0.7088 \) ✔
  
- **Between 5 and 10**:  
  \( 0.4655 \) ✘

---

You may need to use the appropriate table in the [Appendix of Tables](#) to answer this question.
Transcribed Image Text:An article suggests the lognormal distribution as a model for \( SO_2 \) concentration above a certain forest. Suppose the parameter values are \( \mu = 1.7 \) and \( \sigma = 1.1 \). --- ### (a) What are the mean value and standard deviation of concentration? **(Round your answers to three decimal places.)** - **Mean**: \( 10.024 \) ✔ - **Standard deviation**: \( 15.378 \) ✔ --- ### (b) What is the probability that concentration is at most 10? Between 5 and 10? **(Round your answers to four decimal places.)** - **At most 10**: \( 0.7088 \) ✔ - **Between 5 and 10**: \( 0.4655 \) ✘ --- You may need to use the appropriate table in the [Appendix of Tables](#) to answer this question.
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