A population of values has a normal distribution with = 23.8 and σ = 91.4. You intend to draw a random sample of size n = 150. Please show your answers as numbers accurate to 4 decimal places. Find the probability that a single randomly selected value is between 34.2 and 42.5. P(34.2 < X < 42.5) = Find the probability that a sample of size n = 150 is randomly selected with a mean between 34.2 and 42.5. P(34.2 << 42.5) = > Next Question

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### Understanding Normal Distribution and Probability

A population of values has a normal distribution with the following parameters:
- Mean (μ) = 23.8
- Standard deviation (σ) = 91.4

You intend to draw a random sample of size \( n = 150 \). Please show your answers as numbers accurate to four decimal places.

#### Tasks:

1. **Determine the Probability for a Single Value**  
   Find the probability that a single randomly selected value (X) falls between 34.2 and 42.5.  
   \( P(34.2 < X < 42.5) = \_\_\_\_\_\_ \)

2. **Determine the Probability for a Sample Mean**  
   Find the probability that a sample of size \( n = 150 \) is randomly selected and has a mean (\( \bar{x} \)) between 34.2 and 42.5.  
   \( P(34.2 < \bar{x} < 42.5) = \_\_\_\_\_\_ \)

*Note: Click "Next Question" to proceed with the assessment.*

---

This example focuses on utilizing the properties of a normal distribution to calculate probabilities for both individual values and sample means. Understanding these concepts is crucial for statistical inference and practical data analysis.
Transcribed Image Text:### Understanding Normal Distribution and Probability A population of values has a normal distribution with the following parameters: - Mean (μ) = 23.8 - Standard deviation (σ) = 91.4 You intend to draw a random sample of size \( n = 150 \). Please show your answers as numbers accurate to four decimal places. #### Tasks: 1. **Determine the Probability for a Single Value** Find the probability that a single randomly selected value (X) falls between 34.2 and 42.5. \( P(34.2 < X < 42.5) = \_\_\_\_\_\_ \) 2. **Determine the Probability for a Sample Mean** Find the probability that a sample of size \( n = 150 \) is randomly selected and has a mean (\( \bar{x} \)) between 34.2 and 42.5. \( P(34.2 < \bar{x} < 42.5) = \_\_\_\_\_\_ \) *Note: Click "Next Question" to proceed with the assessment.* --- This example focuses on utilizing the properties of a normal distribution to calculate probabilities for both individual values and sample means. Understanding these concepts is crucial for statistical inference and practical data analysis.
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