Let x be a continuous random variable that is normally distributed with a mean of 56 and a standard deviation of 14 places the probability that x assumes a value a. less than 38 i b. greater than 72 i c. greater than 38 d. less than 63

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### Probability Calculation for Normally Distributed Random Variables

Let \( x \) be a continuous random variable that is normally distributed with a mean of 56 and a standard deviation of 14. Find to 4 decimal places the probability that \( x \) assumes a value:

1. **Less than 38**
   - Probability: [Insert answer here]

2. **Greater than 72**
   - Probability: [Insert answer here]

3. **Greater than 38**
   - Probability: [Insert answer here]

4. **Less than 63**
   - Probability: [Insert answer here]

#### Explanation:
To solve these problems, you can use the standard normal distribution (z-score) formula:

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

Where:
- \( X \) is the value from the distribution
- \( \mu \) is the mean of the distribution
- \( \sigma \) is the standard deviation of the distribution
- \( Z \) is the z-score corresponding to the value \( X \)

Once the z-score is calculated, you can use standard normal distribution tables or software/calculators to find the corresponding probabilities.

For each given condition (less than 38, greater than 72, etc.), calculate the z-score and then determine the cumulative probability from the Z-table or appropriate function in a statistical software/calculator.
Transcribed Image Text:### Probability Calculation for Normally Distributed Random Variables Let \( x \) be a continuous random variable that is normally distributed with a mean of 56 and a standard deviation of 14. Find to 4 decimal places the probability that \( x \) assumes a value: 1. **Less than 38** - Probability: [Insert answer here] 2. **Greater than 72** - Probability: [Insert answer here] 3. **Greater than 38** - Probability: [Insert answer here] 4. **Less than 63** - Probability: [Insert answer here] #### Explanation: To solve these problems, you can use the standard normal distribution (z-score) formula: \[ Z = \frac{X - \mu}{\sigma} \] Where: - \( X \) is the value from the distribution - \( \mu \) is the mean of the distribution - \( \sigma \) is the standard deviation of the distribution - \( Z \) is the z-score corresponding to the value \( X \) Once the z-score is calculated, you can use standard normal distribution tables or software/calculators to find the corresponding probabilities. For each given condition (less than 38, greater than 72, etc.), calculate the z-score and then determine the cumulative probability from the Z-table or appropriate function in a statistical software/calculator.
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